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1
+ {"question": "In the domain of Natural Language Processing, I want to learn about syntax based machine translation, what concepts should I learn first?", "answer": "syntax;machine translation"}
2
+ {"question": "In the domain of Natural Language Processing, I want to learn about convolutional neural networks, what concepts should I learn first?", "answer": "neural networks"}
3
+ {"question": "In the domain of Natural Language Processing, I want to learn about dependency syntax, what concepts should I learn first?", "answer": "syntax"}
4
+ {"question": "In the domain of Natural Language Processing, I want to learn about multilingual model, what concepts should I learn first?", "answer": "transferring NMT model"}
5
+ {"question": "In the domain of Natural Language Processing, I want to learn about NLP models, what concepts should I learn first?", "answer": "tokenization"}
6
+ {"question": "In the domain of Natural Language Processing, I want to learn about visual knowledge augmentation, what concepts should I learn first?", "answer": "visual semantic"}
7
+ {"question": "In the domain of Natural Language Processing, I want to learn about image retrieval, what concepts should I learn first?", "answer": "information retrieval"}
8
+ {"question": "In the domain of Natural Language Processing, I want to learn about multilingual word embedding, what concepts should I learn first?", "answer": "word embedding variations"}
9
+ {"question": "In the domain of Natural Language Processing, I want to learn about robotic locomotion, what concepts should I learn first?", "answer": "robotics"}
10
+ {"question": "In the domain of Natural Language Processing, I want to learn about Visual QA, what concepts should I learn first?", "answer": "question answering"}
11
+ {"question": "In the domain of Natural Language Processing, I want to learn about heuristic search, what concepts should I learn first?", "answer": "search"}
12
+ {"question": "In the domain of Natural Language Processing, I want to learn about question answering, what concepts should I learn first?", "answer": "probabilities;bayes theorem"}
13
+ {"question": "In the domain of Natural Language Processing, I want to learn about thesaurus-based similarity, what concepts should I learn first?", "answer": "lexical semantics;wordnet;semantic similarity"}
14
+ {"question": "In the domain of Natural Language Processing, I want to learn about Variations of GANs, what concepts should I learn first?", "answer": "generative adversarial networks;generative and discriminative models;backpropagation;loss function"}
15
+ {"question": "In the domain of Natural Language Processing, I want to learn about context free grammars, what concepts should I learn first?", "answer": "structured learning;linguistics basics;word distributions;vector semantics;vector representations;natural language processing intro"}
16
+ {"question": "In the domain of Natural Language Processing, I want to learn about uncertainty, what concepts should I learn first?", "answer": "search"}
17
+ {"question": "In the domain of Natural Language Processing, I want to learn about bag of words model, what concepts should I learn first?", "answer": "vector representations"}
18
+ {"question": "In the domain of Natural Language Processing, I want to learn about pagerank, what concepts should I learn first?", "answer": "graph-based nlp"}
19
+ {"question": "In the domain of Natural Language Processing, I want to learn about neural summarization, what concepts should I learn first?", "answer": "seq2seq;beam search;text summarization"}
20
+ {"question": "In the domain of Natural Language Processing, I want to learn about Meta-Learning, what concepts should I learn first?", "answer": "probabilities;optimization;machine learning resources;loss function"}
21
+ {"question": "In the domain of Natural Language Processing, I want to learn about sequence classification and conditional random fields, what concepts should I learn first?", "answer": "classification;machine learning resources"}
22
+ {"question": "In the domain of Natural Language Processing, I want to learn about morphology and semantics in machine translation, what concepts should I learn first?", "answer": "machine translation"}
23
+ {"question": "In the domain of Natural Language Processing, I want to learn about Variations of GANs, what concepts should I learn first?", "answer": "generative adversarial networks;generative and discriminative models;backpropagation;loss function"}
24
+ {"question": "In the domain of Natural Language Processing, I want to learn about named entity recognition, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
25
+ {"question": "In the domain of Natural Language Processing, I want to learn about bayes theorem, what concepts should I learn first?", "answer": "probabilities"}
26
+ {"question": "In the domain of Natural Language Processing, I want to learn about text summarization, what concepts should I learn first?", "answer": "sentence representations"}
27
+ {"question": "In the domain of Natural Language Processing, I want to learn about classification, what concepts should I learn first?", "answer": "probabilities;loss function"}
28
+ {"question": "In the domain of Natural Language Processing, I want to learn about vector representations, what concepts should I learn first?", "answer": "structured learning;word distributions;natural language processing intro"}
29
+ {"question": "In the domain of Natural Language Processing, I want to learn about evaluation of question answering, what concepts should I learn first?", "answer": "question answering"}
30
+ {"question": "In the domain of Natural Language Processing, I want to learn about bio text mining, what concepts should I learn first?", "answer": "structured learning;linguistics basics;text similarity;vector semantics;vector representations;natural language processing intro"}
31
+ {"question": "In the domain of Natural Language Processing, I want to learn about lexicography, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
32
+ {"question": "In the domain of Natural Language Processing, I want to learn about informed search, what concepts should I learn first?", "answer": "search"}
33
+ {"question": "In the domain of Natural Language Processing, I want to learn about KKT conditions, what concepts should I learn first?", "answer": "optimization"}
34
+ {"question": "In the domain of Natural Language Processing, I want to learn about unsupervised machine translation, what concepts should I learn first?", "answer": "monolingual word embeddings"}
35
+ {"question": "In the domain of Natural Language Processing, I want to learn about recursive neural network, what concepts should I learn first?", "answer": "probabilities"}
36
+ {"question": "In the domain of Natural Language Processing, I want to learn about Visual QA, what concepts should I learn first?", "answer": "question answering"}
37
+ {"question": "In the domain of Natural Language Processing, I want to learn about problem solving and search, what concepts should I learn first?", "answer": "search;probabilities"}
38
+ {"question": "In the domain of Natural Language Processing, I want to learn about pointer networks, what concepts should I learn first?", "answer": "training neural networks"}
39
+ {"question": "In the domain of Natural Language Processing, I want to learn about bio text mining, what concepts should I learn first?", "answer": "structured learning;linguistics basics;text similarity;vector semantics;vector representations;natural language processing intro"}
40
+ {"question": "In the domain of Natural Language Processing, I want to learn about evaluation of question answering, what concepts should I learn first?", "answer": "question answering"}
41
+ {"question": "In the domain of Natural Language Processing, I want to learn about parsing, what concepts should I learn first?", "answer": "natural language processing intro"}
42
+ {"question": "In the domain of Natural Language Processing, I want to learn about semantic role labeling, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
43
+ {"question": "In the domain of Natural Language Processing, I want to learn about Message Passing, what concepts should I learn first?", "answer": "matrix multiplication"}
44
+ {"question": "In the domain of Natural Language Processing, I want to learn about vector representations, what concepts should I learn first?", "answer": "structured learning;word distributions;natural language processing intro"}
45
+ {"question": "In the domain of Natural Language Processing, I want to learn about course introduction, what concepts should I learn first?", "answer": "probabilities;linguistics basics;hidden markov models;part of speech tagging;dynamic programming;statistical part of speech tagging;natural language processing intro"}
46
+ {"question": "In the domain of Natural Language Processing, I want to learn about machine translation techniques, what concepts should I learn first?", "answer": "machine translation"}
47
+ {"question": "In the domain of Natural Language Processing, I want to learn about monolingual word embeddings, what concepts should I learn first?", "answer": "bilingual word embeddings"}
48
+ {"question": "In the domain of Natural Language Processing, I want to learn about computation theory, what concepts should I learn first?", "answer": "chomsky hierarchy"}
49
+ {"question": "In the domain of Natural Language Processing, I want to learn about unsupervised machine translation, what concepts should I learn first?", "answer": "monolingual word embeddings"}
50
+ {"question": "In the domain of Natural Language Processing, I want to learn about context free grammars, what concepts should I learn first?", "answer": "structured learning;linguistics basics;word distributions;vector semantics;vector representations;natural language processing intro"}
51
+ {"question": "In the domain of Natural Language Processing, I want to learn about topic modeling, what concepts should I learn first?", "answer": "word distributions;latent variable models"}
52
+ {"question": "In the domain of Natural Language Processing, I want to learn about information extraction, what concepts should I learn first?", "answer": "toolkits for information retrieval;linguistics basics;text similarity;sentence representations;natural language processing intro"}
53
+ {"question": "In the domain of Natural Language Processing, I want to learn about newton method, what concepts should I learn first?", "answer": "optimization"}
54
+ {"question": "In the domain of Natural Language Processing, I want to learn about Mixture Models, what concepts should I learn first?", "answer": "probabilities;clustering;Gaussian graphical models"}
55
+ {"question": "In the domain of Natural Language Processing, I want to learn about reinforcement learning, what concepts should I learn first?", "answer": "Unsupervised learning"}
56
+ {"question": "In the domain of Natural Language Processing, I want to learn about propositional logic, what concepts should I learn first?", "answer": "logic and logical agents;linguistics basics;natural language processing intro"}
57
+ {"question": "In the domain of Natural Language Processing, I want to learn about pagerank, what concepts should I learn first?", "answer": "graph-based nlp"}
58
+ {"question": "In the domain of Natural Language Processing, I want to learn about bayesian network, what concepts should I learn first?", "answer": "probabilities;bayes theorem"}
59
+ {"question": "In the domain of Natural Language Processing, I want to learn about speech synthesis, what concepts should I learn first?", "answer": "speech processing;linguistics basics;machine learning resources"}
60
+ {"question": "In the domain of Natural Language Processing, I want to learn about latent dirichlet allocation, what concepts should I learn first?", "answer": "machine learning resources;monte carlo methods;latent variable models;Markov chains"}
61
+ {"question": "In the domain of Natural Language Processing, I want to learn about summarization evaluation, what concepts should I learn first?", "answer": "text summarization"}
62
+ {"question": "In the domain of Natural Language Processing, I want to learn about dependency parsing, what concepts should I learn first?", "answer": "parsing"}
63
+ {"question": "In the domain of Natural Language Processing, I want to learn about monte carlo methods, what concepts should I learn first?", "answer": "probabilities"}
64
+ {"question": "In the domain of Natural Language Processing, I want to learn about preprocessing, what concepts should I learn first?", "answer": "programming languages;python"}
65
+ {"question": "In the domain of Natural Language Processing, I want to learn about computational phonology, what concepts should I learn first?", "answer": "linguistics basics"}
66
+ {"question": "In the domain of Natural Language Processing, I want to learn about shift-reduce parsing, what concepts should I learn first?", "answer": "syntax;classic parsing methods;linguistics basics;natural language processing intro"}
67
+ {"question": "In the domain of Natural Language Processing, I want to learn about NLP models, what concepts should I learn first?", "answer": "tokenization"}
68
+ {"question": "In the domain of Natural Language Processing, I want to learn about lexicography, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
69
+ {"question": "In the domain of Natural Language Processing, I want to learn about graph-based nlp, what concepts should I learn first?", "answer": "natural language processing intro"}
70
+ {"question": "In the domain of Natural Language Processing, I want to learn about question answering system, what concepts should I learn first?", "answer": "semantic units"}
71
+ {"question": "In the domain of Natural Language Processing, I want to learn about discourse relation identification, what concepts should I learn first?", "answer": "relation prediction"}
72
+ {"question": "In the domain of Natural Language Processing, I want to learn about question answering, what concepts should I learn first?", "answer": "probabilities;bayes theorem"}
73
+ {"question": "In the domain of Natural Language Processing, I want to learn about feature selection, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
74
+ {"question": "In the domain of Natural Language Processing, I want to learn about morphology and lexicon, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
75
+ {"question": "In the domain of Natural Language Processing, I want to learn about transition based dependency parsing, what concepts should I learn first?", "answer": "dependency parsing;shift-reduce parsing"}
76
+ {"question": "In the domain of Natural Language Processing, I want to learn about weakly-supervised learning, what concepts should I learn first?", "answer": "random walks and harmonic functions"}
77
+ {"question": "In the domain of Natural Language Processing, I want to learn about unsupervised machine translation, what concepts should I learn first?", "answer": "monolingual word embeddings"}
78
+ {"question": "In the domain of Natural Language Processing, I want to learn about Message Passing, what concepts should I learn first?", "answer": "matrix multiplication"}
79
+ {"question": "In the domain of Natural Language Processing, I want to learn about probabilistic context free grammars, what concepts should I learn first?", "answer": "linguistics basics;probabilistic grammars;natural language processing intro"}
80
+ {"question": "In the domain of Natural Language Processing, I want to learn about Dirichlet Processes, what concepts should I learn first?", "answer": "probabilities"}
81
+ {"question": "In the domain of Natural Language Processing, I want to learn about dependency parsing, what concepts should I learn first?", "answer": "parsing"}
82
+ {"question": "In the domain of Natural Language Processing, I want to learn about stack lstm, what concepts should I learn first?", "answer": "deep learning introduction;training neural networks"}
83
+ {"question": "In the domain of Natural Language Processing, I want to learn about lexicalized parsing, what concepts should I learn first?", "answer": "parsing"}
84
+ {"question": "In the domain of Natural Language Processing, I want to learn about visual knowledge augmentation, what concepts should I learn first?", "answer": "visual semantic"}
85
+ {"question": "In the domain of Natural Language Processing, I want to learn about graph convolutional networks, what concepts should I learn first?", "answer": "semi-supervised learning;convolutional neural networks;training neural networks"}
86
+ {"question": "In the domain of Natural Language Processing, I want to learn about multilingual word embedding, what concepts should I learn first?", "answer": "word embedding variations"}
87
+ {"question": "In the domain of Natural Language Processing, I want to learn about game playing in ai, what concepts should I learn first?", "answer": "search;problem solving and search;machine learning resources;multi-agent systems"}
88
+ {"question": "In the domain of Natural Language Processing, I want to learn about logic and logical agents, what concepts should I learn first?", "answer": "search"}
89
+ {"question": "In the domain of Natural Language Processing, I want to learn about unsupervised speech recognition, what concepts should I learn first?", "answer": "speech translation model"}
90
+ {"question": "In the domain of Natural Language Processing, I want to learn about document ranking, what concepts should I learn first?", "answer": "information retrieval"}
91
+ {"question": "In the domain of Natural Language Processing, I want to learn about Multi-News dataset creation, what concepts should I learn first?", "answer": "extractive summarization"}
92
+ {"question": "In the domain of Natural Language Processing, I want to learn about Neural extractive summarization, what concepts should I learn first?", "answer": "extractive summarization"}
93
+ {"question": "In the domain of Natural Language Processing, I want to learn about regular expressions, what concepts should I learn first?", "answer": "natural language processing intro"}
94
+ {"question": "In the domain of Natural Language Processing, I want to learn about text summarization, what concepts should I learn first?", "answer": "sentence representations"}
95
+ {"question": "In the domain of Natural Language Processing, I want to learn about social network extraction, what concepts should I learn first?", "answer": "probabilities;information extraction"}
96
+ {"question": "In the domain of Natural Language Processing, I want to learn about knowledge representation, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
97
+ {"question": "In the domain of Natural Language Processing, I want to learn about sentence simplification, what concepts should I learn first?", "answer": "linguistics basics;sentence representations;semantic similarity;natural language processing intro"}
98
+ {"question": "In the domain of Natural Language Processing, I want to learn about informed search, what concepts should I learn first?", "answer": "search"}
99
+ {"question": "In the domain of Natural Language Processing, I want to learn about weakly-supervised learning, what concepts should I learn first?", "answer": "random walks and harmonic functions"}
100
+ {"question": "In the domain of Natural Language Processing, I want to learn about sentence simplification, what concepts should I learn first?", "answer": "linguistics basics;sentence representations;semantic similarity;natural language processing intro"}
101
+ {"question": "In the domain of Natural Language Processing, I want to learn about dual decomposition, what concepts should I learn first?", "answer": "optimization"}
102
+ {"question": "In the domain of Natural Language Processing, I want to learn about latent variable models, what concepts should I learn first?", "answer": "probabilities;loss function"}
103
+ {"question": "In the domain of Natural Language Processing, I want to learn about recursive neural network, what concepts should I learn first?", "answer": "probabilities"}
104
+ {"question": "In the domain of Natural Language Processing, I want to learn about monte carlo methods, what concepts should I learn first?", "answer": "probabilities"}
105
+ {"question": "In the domain of Natural Language Processing, I want to learn about AlphaGo, what concepts should I learn first?", "answer": "monte carlo tree search"}
106
+ {"question": "In the domain of Natural Language Processing, I want to learn about graph convolutional networks, what concepts should I learn first?", "answer": "semi-supervised learning;convolutional neural networks;training neural networks"}
107
+ {"question": "In the domain of Natural Language Processing, I want to learn about computational phonology, what concepts should I learn first?", "answer": "linguistics basics"}
108
+ {"question": "In the domain of Natural Language Processing, I want to learn about Vision Transformer, what concepts should I learn first?", "answer": "computer vision"}
109
+ {"question": "In the domain of Natural Language Processing, I want to learn about Markov Random Fields, what concepts should I learn first?", "answer": "graphical models"}
110
+ {"question": "In the domain of Natural Language Processing, I want to learn about Lagrange duality, what concepts should I learn first?", "answer": "optimization"}
111
+ {"question": "In the domain of Natural Language Processing, I want to learn about syntaxnet, what concepts should I learn first?", "answer": "syntax;part of speech tagging;word embedding;parsing;penn treebank;neural networks"}
112
+ {"question": "In the domain of Natural Language Processing, I want to learn about logic and logical agents, what concepts should I learn first?", "answer": "search"}
113
+ {"question": "In the domain of Natural Language Processing, I want to learn about structured sparsity, what concepts should I learn first?", "answer": "probabilities"}
114
+ {"question": "In the domain of Natural Language Processing, I want to learn about gibbs sampling, what concepts should I learn first?", "answer": "Sampling"}
115
+ {"question": "In the domain of Natural Language Processing, I want to learn about robotic locomotion, what concepts should I learn first?", "answer": "robotics"}
116
+ {"question": "In the domain of Natural Language Processing, I want to learn about question answering, what concepts should I learn first?", "answer": "probabilities;bayes theorem"}
117
+ {"question": "In the domain of Natural Language Processing, I want to learn about finite state transducers, what concepts should I learn first?", "answer": "finite state machines"}
118
+ {"question": "In the domain of Natural Language Processing, I want to learn about word distributions, what concepts should I learn first?", "answer": "structured learning;probabilities;n-gram models"}
119
+ {"question": "In the domain of Natural Language Processing, I want to learn about vector semantics, what concepts should I learn first?", "answer": "structured learning"}
120
+ {"question": "In the domain of Natural Language Processing, I want to learn about neural turing machine, what concepts should I learn first?", "answer": "recurrent neural networks;deep learning introduction"}
121
+ {"question": "In the domain of Natural Language Processing, I want to learn about a* search, what concepts should I learn first?", "answer": "search;heuristic search"}
122
+ {"question": "In the domain of Natural Language Processing, I want to learn about Neural extractive summarization, what concepts should I learn first?", "answer": "extractive summarization"}
123
+ {"question": "In the domain of Natural Language Processing, I want to learn about expectation maximization algorithm, what concepts should I learn first?", "answer": "latent variable models;Mixture Models"}
124
+ {"question": "In the domain of Natural Language Processing, I want to learn about uncertainty, what concepts should I learn first?", "answer": "search"}
125
+ {"question": "In the domain of Natural Language Processing, I want to learn about spelling correction, what concepts should I learn first?", "answer": "chinese nlp;linguistics basics;natural language processing intro"}
126
+ {"question": "In the domain of Natural Language Processing, I want to learn about relation extraction, what concepts should I learn first?", "answer": "linguistics basics;semantic similarity;random walks and harmonic functions;natural language processing intro"}
127
+ {"question": "In the domain of Natural Language Processing, I want to learn about information extraction, what concepts should I learn first?", "answer": "toolkits for information retrieval;linguistics basics;text similarity;sentence representations;natural language processing intro"}
128
+ {"question": "In the domain of Natural Language Processing, I want to learn about semi supervised learning, what concepts should I learn first?", "answer": "parsing"}
129
+ {"question": "In the domain of Natural Language Processing, I want to learn about character level language models, what concepts should I learn first?", "answer": "evaluation of language modeling;word distributions"}
130
+ {"question": "In the domain of Natural Language Processing, I want to learn about morphological analysis, what concepts should I learn first?", "answer": "morphological typology"}
131
+ {"question": "In the domain of Natural Language Processing, I want to learn about recursive neural network, what concepts should I learn first?", "answer": "probabilities"}
132
+ {"question": "In the domain of Natural Language Processing, I want to learn about transition based dependency parsing, what concepts should I learn first?", "answer": "dependency parsing;shift-reduce parsing"}
133
+ {"question": "In the domain of Natural Language Processing, I want to learn about convolutional neural networks, what concepts should I learn first?", "answer": "neural networks"}
134
+ {"question": "In the domain of Natural Language Processing, I want to learn about prosody, what concepts should I learn first?", "answer": "linguistics basics"}
135
+ {"question": "In the domain of Natural Language Processing, I want to learn about transition based dependency parsing, what concepts should I learn first?", "answer": "dependency parsing;shift-reduce parsing"}
136
+ {"question": "In the domain of Natural Language Processing, I want to learn about robotics, what concepts should I learn first?", "answer": "uncertainty;reinforcement learning"}
137
+ {"question": "In the domain of Natural Language Processing, I want to learn about stack lstm, what concepts should I learn first?", "answer": "deep learning introduction;training neural networks"}
138
+ {"question": "In the domain of Natural Language Processing, I want to learn about Markov Random Fields, what concepts should I learn first?", "answer": "graphical models"}
139
+ {"question": "In the domain of Natural Language Processing, I want to learn about graph convolutional networks, what concepts should I learn first?", "answer": "semi-supervised learning;convolutional neural networks;training neural networks"}
140
+ {"question": "In the domain of Natural Language Processing, I want to learn about chomsky hierarchy, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
141
+ {"question": "In the domain of Natural Language Processing, I want to learn about agent-based view of ai, what concepts should I learn first?", "answer": "reinforcement learning;logic and logical agents"}
142
+ {"question": "In the domain of Natural Language Processing, I want to learn about bayesian network, what concepts should I learn first?", "answer": "probabilities;bayes theorem"}
143
+ {"question": "In the domain of Natural Language Processing, I want to learn about synthetic data generation, what concepts should I learn first?", "answer": "generative language model"}
144
+ {"question": "In the domain of Natural Language Processing, I want to learn about expert systems, what concepts should I learn first?", "answer": "logic and logical agents"}
145
+ {"question": "In the domain of Natural Language Processing, I want to learn about finite state transducers, what concepts should I learn first?", "answer": "finite state machines"}
146
+ {"question": "In the domain of Natural Language Processing, I want to learn about pagerank, what concepts should I learn first?", "answer": "graph-based nlp"}
147
+ {"question": "In the domain of Natural Language Processing, I want to learn about Markov Random Fields, what concepts should I learn first?", "answer": "graphical models"}
148
+ {"question": "In the domain of Natural Language Processing, I want to learn about edit distance, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
149
+ {"question": "In the domain of Natural Language Processing, I want to learn about multimodal fusion, what concepts should I learn first?", "answer": "multimodal embeddings"}
150
+ {"question": "In the domain of Natural Language Processing, I want to learn about Autoencoders, what concepts should I learn first?", "answer": "maximum likelihood estimation;backpropagation;neural networks;loss function"}
151
+ {"question": "In the domain of Natural Language Processing, I want to learn about a* search, what concepts should I learn first?", "answer": "search;heuristic search"}
152
+ {"question": "In the domain of Natural Language Processing, I want to learn about finite state transducers, what concepts should I learn first?", "answer": "finite state machines"}
153
+ {"question": "In the domain of Natural Language Processing, I want to learn about spectral clustering, what concepts should I learn first?", "answer": "machine learning resources;Unsupervised learning"}
154
+ {"question": "In the domain of Natural Language Processing, I want to learn about vector representations, what concepts should I learn first?", "answer": "structured learning;word distributions;natural language processing intro"}
155
+ {"question": "In the domain of Natural Language Processing, I want to learn about expectation maximization algorithm, what concepts should I learn first?", "answer": "latent variable models;Mixture Models"}
156
+ {"question": "In the domain of Natural Language Processing, I want to learn about pointer networks, what concepts should I learn first?", "answer": "training neural networks"}
157
+ {"question": "In the domain of Natural Language Processing, I want to learn about evaluation of question answering, what concepts should I learn first?", "answer": "question answering"}
158
+ {"question": "In the domain of Natural Language Processing, I want to learn about informed search, what concepts should I learn first?", "answer": "search"}
159
+ {"question": "In the domain of Natural Language Processing, I want to learn about hidden markov models, what concepts should I learn first?", "answer": "probabilities;bayesian network"}
160
+ {"question": "In the domain of Natural Language Processing, I want to learn about machine translation techniques, what concepts should I learn first?", "answer": "machine translation"}
161
+ {"question": "In the domain of Natural Language Processing, I want to learn about random walks and harmonic functions, what concepts should I learn first?", "answer": "machine learning resources"}
162
+ {"question": "In the domain of Natural Language Processing, I want to learn about Mixture Models, what concepts should I learn first?", "answer": "probabilities;clustering;Gaussian graphical models"}
163
+ {"question": "In the domain of Natural Language Processing, I want to learn about mathematical models, what concepts should I learn first?", "answer": "probabilities"}
164
+ {"question": "In the domain of Natural Language Processing, I want to learn about Multi-News dataset creation, what concepts should I learn first?", "answer": "extractive summarization"}
165
+ {"question": "In the domain of Natural Language Processing, I want to learn about relation extraction, what concepts should I learn first?", "answer": "linguistics basics;semantic similarity;random walks and harmonic functions;natural language processing intro"}
166
+ {"question": "In the domain of Natural Language Processing, I want to learn about statistical parsing, what concepts should I learn first?", "answer": "probabilities;parsing"}
167
+ {"question": "In the domain of Natural Language Processing, I want to learn about Mean Field Approximation, what concepts should I learn first?", "answer": "graphical models"}
168
+ {"question": "In the domain of Natural Language Processing, I want to learn about Principal Component Analysis, what concepts should I learn first?", "answer": "dimensionality reduction;singular value decomposition"}
169
+ {"question": "In the domain of Natural Language Processing, I want to learn about recursive neural networks, what concepts should I learn first?", "answer": "training neural networks"}
170
+ {"question": "In the domain of Natural Language Processing, I want to learn about end-to-end ST, what concepts should I learn first?", "answer": "speech translation model"}
171
+ {"question": "In the domain of Natural Language Processing, I want to learn about the ibm models, what concepts should I learn first?", "answer": "machine translation"}
172
+ {"question": "In the domain of Natural Language Processing, I want to learn about heuristic search, what concepts should I learn first?", "answer": "search"}
173
+ {"question": "In the domain of Natural Language Processing, I want to learn about variational bayes models, what concepts should I learn first?", "answer": "probabilities"}
174
+ {"question": "In the domain of Natural Language Processing, I want to learn about speech processing, what concepts should I learn first?", "answer": "probabilities;linguistics basics;speech signal analysis;natural language processing intro;loss function"}
175
+ {"question": "In the domain of Natural Language Processing, I want to learn about question answering system, what concepts should I learn first?", "answer": "semantic units"}
176
+ {"question": "In the domain of Natural Language Processing, I want to learn about expert systems, what concepts should I learn first?", "answer": "logic and logical agents"}
177
+ {"question": "In the domain of Natural Language Processing, I want to learn about question answering, what concepts should I learn first?", "answer": "probabilities;bayes theorem"}
178
+ {"question": "In the domain of Natural Language Processing, I want to learn about text summarization, what concepts should I learn first?", "answer": "sentence representations"}
179
+ {"question": "In the domain of Natural Language Processing, I want to learn about question answering system, what concepts should I learn first?", "answer": "semantic units"}
180
+ {"question": "In the domain of Natural Language Processing, I want to learn about semi-supervised learning, what concepts should I learn first?", "answer": "machine learning resources;random walks and harmonic functions"}
181
+ {"question": "In the domain of Natural Language Processing, I want to learn about social media analysis, what concepts should I learn first?", "answer": "sentiment analysis;relation extraction;information extraction"}
182
+ {"question": "In the domain of Natural Language Processing, I want to learn about graph-based nlp, what concepts should I learn first?", "answer": "natural language processing intro"}
183
+ {"question": "In the domain of Natural Language Processing, I want to learn about lexicography, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
184
+ {"question": "In the domain of Natural Language Processing, I want to learn about stack lstm, what concepts should I learn first?", "answer": "deep learning introduction;training neural networks"}
185
+ {"question": "In the domain of Natural Language Processing, I want to learn about speech processing, what concepts should I learn first?", "answer": "probabilities;linguistics basics;speech signal analysis;natural language processing intro;loss function"}
186
+ {"question": "In the domain of Natural Language Processing, I want to learn about multimodal fusion, what concepts should I learn first?", "answer": "multimodal embeddings"}
187
+ {"question": "In the domain of Natural Language Processing, I want to learn about social media analysis, what concepts should I learn first?", "answer": "sentiment analysis;relation extraction;information extraction"}
188
+ {"question": "In the domain of Natural Language Processing, I want to learn about gibbs sampling, what concepts should I learn first?", "answer": "Sampling"}
189
+ {"question": "In the domain of Natural Language Processing, I want to learn about monte carlo tree search, what concepts should I learn first?", "answer": "probabilities"}
190
+ {"question": "In the domain of Natural Language Processing, I want to learn about Lagrange duality, what concepts should I learn first?", "answer": "optimization"}
191
+ {"question": "In the domain of Natural Language Processing, I want to learn about heuristic search, what concepts should I learn first?", "answer": "search"}
192
+ {"question": "In the domain of Natural Language Processing, I want to learn about classification, what concepts should I learn first?", "answer": "probabilities;loss function"}
193
+ {"question": "In the domain of Natural Language Processing, I want to learn about kernel function, what concepts should I learn first?", "answer": "machine learning resources"}
194
+ {"question": "In the domain of Natural Language Processing, I want to learn about spelling correction, what concepts should I learn first?", "answer": "chinese nlp;linguistics basics;natural language processing intro"}
195
+ {"question": "In the domain of Natural Language Processing, I want to learn about neural question answering, what concepts should I learn first?", "answer": "convolutional neural network;question answering;long short term memory networks;recurrent neural networks;neural networks"}
196
+ {"question": "In the domain of Natural Language Processing, I want to learn about adversarial purification, what concepts should I learn first?", "answer": "computer vision"}
197
+ {"question": "In the domain of Natural Language Processing, I want to learn about evaluation of language modeling, what concepts should I learn first?", "answer": "language modeling"}
198
+ {"question": "In the domain of Natural Language Processing, I want to learn about regular expressions, what concepts should I learn first?", "answer": "natural language processing intro"}
199
+ {"question": "In the domain of Natural Language Processing, I want to learn about KKT conditions, what concepts should I learn first?", "answer": "optimization"}
200
+ {"question": "In the domain of Natural Language Processing, I want to learn about nlp and vision, what concepts should I learn first?", "answer": "linguistics basics;computer vision;natural language processing intro"}
201
+ {"question": "In the domain of Natural Language Processing, I want to learn about computation theory, what concepts should I learn first?", "answer": "chomsky hierarchy"}
202
+ {"question": "In the domain of Natural Language Processing, I want to learn about first-order logic, what concepts should I learn first?", "answer": "semi supervised learning;penn treebank"}
203
+ {"question": "In the domain of Natural Language Processing, I want to learn about social network extraction, what concepts should I learn first?", "answer": "probabilities;information extraction"}
204
+ {"question": "In the domain of Natural Language Processing, I want to learn about document ranking, what concepts should I learn first?", "answer": "information retrieval"}
205
+ {"question": "In the domain of Natural Language Processing, I want to learn about markov chain monte carlo, what concepts should I learn first?", "answer": "Markov chains;Sampling"}
206
+ {"question": "In the domain of Natural Language Processing, I want to learn about nlp for the humanities, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
207
+ {"question": "In the domain of Natural Language Processing, I want to learn about word segmentation, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
208
+ {"question": "In the domain of Natural Language Processing, I want to learn about Naive Bayes, what concepts should I learn first?", "answer": "probabilities"}
209
+ {"question": "In the domain of Natural Language Processing, I want to learn about hybrid retrieval, what concepts should I learn first?", "answer": "dense retrieval"}
210
+ {"question": "In the domain of Natural Language Processing, I want to learn about random walks and harmonic functions, what concepts should I learn first?", "answer": "machine learning resources"}
211
+ {"question": "In the domain of Natural Language Processing, I want to learn about sentence representations, what concepts should I learn first?", "answer": "structured learning"}
212
+ {"question": "In the domain of Natural Language Processing, I want to learn about regular expressions, what concepts should I learn first?", "answer": "natural language processing intro"}
213
+ {"question": "In the domain of Natural Language Processing, I want to learn about neural turing machine, what concepts should I learn first?", "answer": "recurrent neural networks;deep learning introduction"}
214
+ {"question": "In the domain of Natural Language Processing, I want to learn about dual decomposition, what concepts should I learn first?", "answer": "optimization"}
215
+ {"question": "In the domain of Natural Language Processing, I want to learn about bag of words model, what concepts should I learn first?", "answer": "vector representations"}
216
+ {"question": "In the domain of Natural Language Processing, I want to learn about named entity recognition, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
217
+ {"question": "In the domain of Natural Language Processing, I want to learn about computation theory, what concepts should I learn first?", "answer": "chomsky hierarchy"}
218
+ {"question": "In the domain of Natural Language Processing, I want to learn about loss function, what concepts should I learn first?", "answer": "machine learning resources"}
219
+ {"question": "In the domain of Natural Language Processing, I want to learn about logic and logical agents, what concepts should I learn first?", "answer": "search"}
220
+ {"question": "In the domain of Natural Language Processing, I want to learn about phonetics, what concepts should I learn first?", "answer": "linguistics basics"}
221
+ {"question": "In the domain of Natural Language Processing, I want to learn about logistic regression, what concepts should I learn first?", "answer": "machine learning resources"}
222
+ {"question": "In the domain of Natural Language Processing, I want to learn about unsupervised speech-to-text translation, what concepts should I learn first?", "answer": "speech translation model"}
223
+ {"question": "In the domain of Natural Language Processing, I want to learn about course introduction, what concepts should I learn first?", "answer": "probabilities;linguistics basics;hidden markov models;part of speech tagging;dynamic programming;statistical part of speech tagging;natural language processing intro"}
224
+ {"question": "In the domain of Natural Language Processing, I want to learn about parsing, what concepts should I learn first?", "answer": "natural language processing intro"}
225
+ {"question": "In the domain of Natural Language Processing, I want to learn about gated recurrent units, what concepts should I learn first?", "answer": "recurrent neural networks"}
226
+ {"question": "In the domain of Natural Language Processing, I want to learn about Neural extractive summarization, what concepts should I learn first?", "answer": "extractive summarization"}
227
+ {"question": "In the domain of Natural Language Processing, I want to learn about character level language models, what concepts should I learn first?", "answer": "evaluation of language modeling;word distributions"}
228
+ {"question": "In the domain of Natural Language Processing, I want to learn about language models, what concepts should I learn first?", "answer": "regularization"}
229
+ {"question": "In the domain of Natural Language Processing, I want to learn about gated recurrent units, what concepts should I learn first?", "answer": "recurrent neural networks"}
230
+ {"question": "In the domain of Natural Language Processing, I want to learn about EigenSent algorithm, what concepts should I learn first?", "answer": "spectral method"}
231
+ {"question": "In the domain of Natural Language Processing, I want to learn about propositional logic, what concepts should I learn first?", "answer": "logic and logical agents;linguistics basics;natural language processing intro"}
232
+ {"question": "In the domain of Natural Language Processing, I want to learn about graph convolutional networks, what concepts should I learn first?", "answer": "semi-supervised learning;convolutional neural networks;training neural networks"}
233
+ {"question": "In the domain of Natural Language Processing, I want to learn about matrix factorization, what concepts should I learn first?", "answer": "machine learning resources;Principal Component Analysis"}
234
+ {"question": "In the domain of Natural Language Processing, I want to learn about dependency parsing, what concepts should I learn first?", "answer": "parsing"}
235
+ {"question": "In the domain of Natural Language Processing, I want to learn about Manifold Learning, what concepts should I learn first?", "answer": "probabilities;feature learning;dimensionality reduction;Principal Component Analysis"}
236
+ {"question": "In the domain of Natural Language Processing, I want to learn about tools for dl, what concepts should I learn first?", "answer": "programming languages;python"}
237
+ {"question": "In the domain of Natural Language Processing, I want to learn about social network extraction, what concepts should I learn first?", "answer": "probabilities;information extraction"}
238
+ {"question": "In the domain of Natural Language Processing, I want to learn about computational phonology, what concepts should I learn first?", "answer": "linguistics basics"}
239
+ {"question": "In the domain of Natural Language Processing, I want to learn about agent-based view of ai, what concepts should I learn first?", "answer": "reinforcement learning;logic and logical agents"}
240
+ {"question": "In the domain of Natural Language Processing, I want to learn about Autoencoders, what concepts should I learn first?", "answer": "maximum likelihood estimation;backpropagation;neural networks;loss function"}
241
+ {"question": "In the domain of Natural Language Processing, I want to learn about morphological analysis, what concepts should I learn first?", "answer": "morphological typology"}
242
+ {"question": "In the domain of Natural Language Processing, I want to learn about hybrid retrieval, what concepts should I learn first?", "answer": "dense retrieval"}
243
+ {"question": "In the domain of Natural Language Processing, I want to learn about logic and logical agents, what concepts should I learn first?", "answer": "search"}
244
+ {"question": "In the domain of Natural Language Processing, I want to learn about heuristic search, what concepts should I learn first?", "answer": "search"}
245
+ {"question": "In the domain of Natural Language Processing, I want to learn about heuristic search, what concepts should I learn first?", "answer": "search"}
246
+ {"question": "In the domain of Natural Language Processing, I want to learn about expectation maximization algorithm, what concepts should I learn first?", "answer": "latent variable models;Mixture Models"}
247
+ {"question": "In the domain of Natural Language Processing, I want to learn about the ibm models, what concepts should I learn first?", "answer": "machine translation"}
248
+ {"question": "In the domain of Natural Language Processing, I want to learn about Unsupervised learning, what concepts should I learn first?", "answer": "machine learning resources;random walks and harmonic functions"}
249
+ {"question": "In the domain of Natural Language Processing, I want to learn about toolkits for information retrieval, what concepts should I learn first?", "answer": "information retrieval"}
250
+ {"question": "In the domain of Natural Language Processing, I want to learn about Sequence to sequence, what concepts should I learn first?", "answer": "linguistics basics;natural language processing intro"}
task3.jsonl ADDED
@@ -0,0 +1,250 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"question": "In the domain of Natural Language Processing, I know about the concept of neural networks, now I want to learn about the concept of training neural networks, what concept path should I follow?", "answer": "neural networks;training neural networks"}
2
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of neural language modeling, what concept path should I follow?", "answer": "optimization;machine learning resources;semi-supervised learning;neural networks;neural language modeling"}
3
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of query expansion, what concept path should I follow?", "answer": "linguistics basics;morphology and lexicon;query expansion"}
4
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of tsne, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;vector semantics;tsne"}
5
+ {"question": "In the domain of Natural Language Processing, I know about the concept of Unsupervised learning, now I want to learn about the concept of k means, what concept path should I follow?", "answer": "Unsupervised learning;k means"}
6
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of kernels, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;vector semantics;kernels"}
7
+ {"question": "In the domain of Natural Language Processing, I know about the concept of information retrieval, now I want to learn about the concept of social network extraction, what concept path should I follow?", "answer": "information retrieval;toolkits for information retrieval;information extraction;social network extraction"}
8
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of grammar checker, what concept path should I follow?", "answer": "natural language processing intro;chinese nlp;grammar checker"}
9
+ {"question": "In the domain of Natural Language Processing, I know about the concept of heuristic search, now I want to learn about the concept of a* search, what concept path should I follow?", "answer": "heuristic search;a* search"}
10
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of word sense disambiguation, what concept path should I follow?", "answer": "structured learning;word distributions;vector representations;word embedding;word embedding variations;word sense disambiguation"}
11
+ {"question": "In the domain of Natural Language Processing, I know about the concept of computer vision, now I want to learn about the concept of nlp and vision, what concept path should I follow?", "answer": "computer vision;nlp and vision"}
12
+ {"question": "In the domain of Natural Language Processing, I know about the concept of bilingual word embeddings, now I want to learn about the concept of unsupervised machine translation, what concept path should I follow?", "answer": "bilingual word embeddings;monolingual word embeddings;unsupervised machine translation"}
13
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of prosody, what concept path should I follow?", "answer": "linguistics basics;prosody"}
14
+ {"question": "In the domain of Natural Language Processing, I know about the concept of syntax, now I want to learn about the concept of first-order logic, what concept path should I follow?", "answer": "syntax;penn treebank;first-order logic"}
15
+ {"question": "In the domain of Natural Language Processing, I know about the concept of penn treebank, now I want to learn about the concept of first-order logic, what concept path should I follow?", "answer": "penn treebank;first-order logic"}
16
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word embedding, now I want to learn about the concept of multilingual word embedding, what concept path should I follow?", "answer": "word embedding;word embedding variations;multilingual word embedding"}
17
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of language modeling, what concept path should I follow?", "answer": "probabilities;structured learning;word distributions;language modeling"}
18
+ {"question": "In the domain of Natural Language Processing, I know about the concept of Unsupervised learning, now I want to learn about the concept of neural parsing, what concept path should I follow?", "answer": "Unsupervised learning;neural networks;neural parsing"}
19
+ {"question": "In the domain of Natural Language Processing, I know about the concept of random walks and harmonic functions, now I want to learn about the concept of semi-supervised learning, what concept path should I follow?", "answer": "random walks and harmonic functions;semi-supervised learning"}
20
+ {"question": "In the domain of Natural Language Processing, I know about the concept of semi-supervised learning, now I want to learn about the concept of convolutional neural networks, what concept path should I follow?", "answer": "semi-supervised learning;neural networks;convolutional neural networks"}
21
+ {"question": "In the domain of Natural Language Processing, I know about the concept of semi-supervised learning, now I want to learn about the concept of recursive neural networks, what concept path should I follow?", "answer": "semi-supervised learning;neural networks;training neural networks;recursive neural networks"}
22
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of variational bayes models, what concept path should I follow?", "answer": "probabilities;variational bayes models"}
23
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of memory networks, what concept path should I follow?", "answer": "optimization;memory networks"}
24
+ {"question": "In the domain of Natural Language Processing, I know about the concept of semi-supervised learning, now I want to learn about the concept of recursive neural networks, what concept path should I follow?", "answer": "semi-supervised learning;neural networks;training neural networks;recursive neural networks"}
25
+ {"question": "In the domain of Natural Language Processing, I know about the concept of search, now I want to learn about the concept of expert systems, what concept path should I follow?", "answer": "search;logic and logical agents;expert systems"}
26
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of word sense disambiguation, what concept path should I follow?", "answer": "vector representations;structured learning;word distributions;word embedding;word embedding variations;word sense disambiguation"}
27
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of knowledge representation, what concept path should I follow?", "answer": "linguistics basics;knowledge representation"}
28
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of semi-supervised learning, what concept path should I follow?", "answer": "machine learning resources;semi-supervised learning"}
29
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of computational phonology, what concept path should I follow?", "answer": "linguistics basics;computational phonology"}
30
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of word embedding variations, what concept path should I follow?", "answer": "machine learning resources;word embedding;word embedding variations"}
31
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of multilingual word embedding, what concept path should I follow?", "answer": "linguistics basics;word embedding;word embedding variations;multilingual word embedding"}
32
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of edit distance, what concept path should I follow?", "answer": "natural language processing intro;edit distance"}
33
+ {"question": "In the domain of Natural Language Processing, I know about the concept of evaluation of language modeling, now I want to learn about the concept of text generation, what concept path should I follow?", "answer": "evaluation of language modeling;text generation"}
34
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of memory networks, what concept path should I follow?", "answer": "optimization;memory networks"}
35
+ {"question": "In the domain of Natural Language Processing, I know about the concept of summarization evaluation, now I want to learn about the concept of scientific article summarization, what concept path should I follow?", "answer": "summarization evaluation;scientific article summarization"}
36
+ {"question": "In the domain of Natural Language Processing, I know about the concept of latent variable models, now I want to learn about the concept of expectation maximization algorithm, what concept path should I follow?", "answer": "latent variable models;expectation maximization algorithm"}
37
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of Meta-Learning, what concept path should I follow?", "answer": "loss function;machine learning resources;Meta-Learning"}
38
+ {"question": "In the domain of Natural Language Processing, I know about the concept of information retrieval, now I want to learn about the concept of document ranking, what concept path should I follow?", "answer": "information retrieval;document ranking"}
39
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of feature selection, what concept path should I follow?", "answer": "natural language processing intro;feature selection"}
40
+ {"question": "In the domain of Natural Language Processing, I know about the concept of part of speech tagging, now I want to learn about the concept of course introduction, what concept path should I follow?", "answer": "part of speech tagging;course introduction"}
41
+ {"question": "In the domain of Natural Language Processing, I know about the concept of bayes theorem, now I want to learn about the concept of Visual QA, what concept path should I follow?", "answer": "bayes theorem;question answering;Visual QA"}
42
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of sentiment analysis, what concept path should I follow?", "answer": "loss function;classification;sentiment analysis"}
43
+ {"question": "In the domain of Natural Language Processing, I know about the concept of backpropagation, now I want to learn about the concept of pointer networks, what concept path should I follow?", "answer": "backpropagation;neural networks;training neural networks;pointer networks"}
44
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of thesaurus-based similarity, what concept path should I follow?", "answer": "vector representations;structured learning;vector semantics;semantic similarity;thesaurus-based similarity"}
45
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of word embedding, what concept path should I follow?", "answer": "loss function;machine learning resources;word embedding"}
46
+ {"question": "In the domain of Natural Language Processing, I know about the concept of syntax, now I want to learn about the concept of transition based dependency parsing, what concept path should I follow?", "answer": "syntax;shift-reduce parsing;transition based dependency parsing"}
47
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of scientific article summarization, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;sentence representations;text summarization;neural summarization;scientific article summarization"}
48
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of thesaurus-based similarity, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;vector semantics;semantic similarity;thesaurus-based similarity"}
49
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of game playing in ai, what concept path should I follow?", "answer": "optimization;machine learning resources;game playing in ai"}
50
+ {"question": "In the domain of Natural Language Processing, I know about the concept of parsing, now I want to learn about the concept of dependency parsing, what concept path should I follow?", "answer": "parsing;dependency parsing"}
51
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of kernels, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;vector semantics;kernels"}
52
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of social network extraction, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;structured learning;sentence representations;information extraction;social network extraction"}
53
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of log-linear models, what concept path should I follow?", "answer": "machine learning resources;log-linear models"}
54
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of sentence simplification, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;structured learning;sentence representations;sentence simplification"}
55
+ {"question": "In the domain of Natural Language Processing, I know about the concept of sentence representations, now I want to learn about the concept of document representation, what concept path should I follow?", "answer": "sentence representations;document representation"}
56
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of evaluation of language modeling, what concept path should I follow?", "answer": "probabilities;structured learning;word distributions;language modeling;evaluation of language modeling"}
57
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of structured learning, what concept path should I follow?", "answer": "vector representations;structured learning"}
58
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of scientific article summarization, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;structured learning;sentence representations;text summarization;neural summarization;scientific article summarization"}
59
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of linear discriminant analysis, what concept path should I follow?", "answer": "loss function;machine learning resources;linear discriminant analysis"}
60
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of text mining, what concept path should I follow?", "answer": "structured learning;word distributions;vector representations;text mining"}
61
+ {"question": "In the domain of Natural Language Processing, I know about the concept of latent variable models, now I want to learn about the concept of expectation maximization algorithm, what concept path should I follow?", "answer": "latent variable models;expectation maximization algorithm"}
62
+ {"question": "In the domain of Natural Language Processing, I know about the concept of bilingual word embeddings, now I want to learn about the concept of unsupervised machine translation, what concept path should I follow?", "answer": "bilingual word embeddings;monolingual word embeddings;unsupervised machine translation"}
63
+ {"question": "In the domain of Natural Language Processing, I know about the concept of recurrent neural networks, now I want to learn about the concept of neural turing machine, what concept path should I follow?", "answer": "recurrent neural networks;neural turing machine"}
64
+ {"question": "In the domain of Natural Language Processing, I know about the concept of semantic similarity, now I want to learn about the concept of thesaurus-based similarity, what concept path should I follow?", "answer": "semantic similarity;thesaurus-based similarity"}
65
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of information extraction, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;sentence representations;information extraction"}
66
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of topic modeling, what concept path should I follow?", "answer": "n-gram models;word distributions;topic modeling"}
67
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of computation theory, what concept path should I follow?", "answer": "linguistics basics;chomsky hierarchy;computation theory"}
68
+ {"question": "In the domain of Natural Language Processing, I know about the concept of speech signal analysis, now I want to learn about the concept of speech synthesis, what concept path should I follow?", "answer": "speech signal analysis;speech processing;speech synthesis"}
69
+ {"question": "In the domain of Natural Language Processing, I know about the concept of syntax, now I want to learn about the concept of penn treebank, what concept path should I follow?", "answer": "syntax;penn treebank"}
70
+ {"question": "In the domain of Natural Language Processing, I know about the concept of neural networks, now I want to learn about the concept of convolutional neural networks, what concept path should I follow?", "answer": "neural networks;convolutional neural networks"}
71
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of word sense disambiguation, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;vector semantics;semantic similarity;word sense disambiguation"}
72
+ {"question": "In the domain of Natural Language Processing, I know about the concept of deep learning introduction, now I want to learn about the concept of neural machine translation, what concept path should I follow?", "answer": "deep learning introduction;neural machine translation"}
73
+ {"question": "In the domain of Natural Language Processing, I know about the concept of reinforcement learning, now I want to learn about the concept of robotic locomotion, what concept path should I follow?", "answer": "reinforcement learning;robotics;robotic locomotion"}
74
+ {"question": "In the domain of Natural Language Processing, I know about the concept of text summarization, now I want to learn about the concept of neural summarization, what concept path should I follow?", "answer": "text summarization;neural summarization"}
75
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of text mining, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;structured learning;sentence representations;text mining"}
76
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of kernels, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;vector semantics;kernels"}
77
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of vector representations, what concept path should I follow?", "answer": "natural language processing intro;vector representations"}
78
+ {"question": "In the domain of Natural Language Processing, I know about the concept of random walks and harmonic functions, now I want to learn about the concept of recursive neural networks, what concept path should I follow?", "answer": "random walks and harmonic functions;semi-supervised learning;neural networks;training neural networks;recursive neural networks"}
79
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of word embedding variations, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;vector semantics;word embedding;word embedding variations"}
80
+ {"question": "In the domain of Natural Language Processing, I know about the concept of backpropagation, now I want to learn about the concept of convolutional neural networks, what concept path should I follow?", "answer": "backpropagation;neural networks;convolutional neural networks"}
81
+ {"question": "In the domain of Natural Language Processing, I know about the concept of multi-agent systems, now I want to learn about the concept of game playing in ai, what concept path should I follow?", "answer": "multi-agent systems;game playing in ai"}
82
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of sentiment analysis, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;sentence representations;sentiment analysis"}
83
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of syntaxnet, what concept path should I follow?", "answer": "linguistics basics;word embedding;syntaxnet"}
84
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of word segmentation, what concept path should I follow?", "answer": "natural language processing intro;word segmentation"}
85
+ {"question": "In the domain of Natural Language Processing, I know about the concept of morphology and lexicon, now I want to learn about the concept of query expansion, what concept path should I follow?", "answer": "morphology and lexicon;query expansion"}
86
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of text generation, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;word distributions;language modeling;evaluation of language modeling;text generation"}
87
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word embedding, now I want to learn about the concept of multilingual word embedding, what concept path should I follow?", "answer": "word embedding;word embedding variations;multilingual word embedding"}
88
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of expectation maximization algorithm, what concept path should I follow?", "answer": "loss function;latent variable models;expectation maximization algorithm"}
89
+ {"question": "In the domain of Natural Language Processing, I know about the concept of classification, now I want to learn about the concept of sentiment analysis, what concept path should I follow?", "answer": "classification;sentiment analysis"}
90
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of social media analysis, what concept path should I follow?", "answer": "probabilities;structured learning;sentence representations;sentiment analysis;social media analysis"}
91
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of context free grammars, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;structured learning;vector semantics;context free grammars"}
92
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of spectral clustering, what concept path should I follow?", "answer": "machine learning resources;random walks and harmonic functions;Unsupervised learning;spectral clustering"}
93
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of information extraction, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;sentence representations;information extraction"}
94
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of text generation, what concept path should I follow?", "answer": "vector representations;structured learning;word distributions;language modeling;evaluation of language modeling;text generation"}
95
+ {"question": "In the domain of Natural Language Processing, I know about the concept of sentence representations, now I want to learn about the concept of summarization evaluation, what concept path should I follow?", "answer": "sentence representations;text summarization;summarization evaluation"}
96
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of memory networks, what concept path should I follow?", "answer": "loss function;machine learning resources;semi-supervised learning;neural networks;memory networks"}
97
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of text mining, what concept path should I follow?", "answer": "structured learning;word distributions;vector representations;text mining"}
98
+ {"question": "In the domain of Natural Language Processing, I know about the concept of sentence representations, now I want to learn about the concept of summarization evaluation, what concept path should I follow?", "answer": "sentence representations;text summarization;summarization evaluation"}
99
+ {"question": "In the domain of Natural Language Processing, I know about the concept of wordnet, now I want to learn about the concept of lexical semantics, what concept path should I follow?", "answer": "wordnet;lexical semantics"}
100
+ {"question": "In the domain of Natural Language Processing, I know about the concept of Unsupervised learning, now I want to learn about the concept of tsne, what concept path should I follow?", "answer": "Unsupervised learning;tsne"}
101
+ {"question": "In the domain of Natural Language Processing, I know about the concept of transferring NMT model, now I want to learn about the concept of multilingual model, what concept path should I follow?", "answer": "transferring NMT model;multilingual model"}
102
+ {"question": "In the domain of Natural Language Processing, I know about the concept of information retrieval, now I want to learn about the concept of query expansion, what concept path should I follow?", "answer": "information retrieval;toolkits for information retrieval;query expansion"}
103
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of robotics, what concept path should I follow?", "answer": "loss function;machine learning resources;random walks and harmonic functions;Unsupervised learning;reinforcement learning;robotics"}
104
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of kernels, what concept path should I follow?", "answer": "structured learning;word distributions;vector representations;kernels"}
105
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of multilingual word embedding, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;word distributions;word embedding;word embedding variations;multilingual word embedding"}
106
+ {"question": "In the domain of Natural Language Processing, I know about the concept of logic and logical agents, now I want to learn about the concept of agent-based view of ai, what concept path should I follow?", "answer": "logic and logical agents;agent-based view of ai"}
107
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of linear discriminant analysis, what concept path should I follow?", "answer": "machine learning resources;linear discriminant analysis"}
108
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of log-linear models, what concept path should I follow?", "answer": "machine learning resources;log-linear models"}
109
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of bayes theorem, what concept path should I follow?", "answer": "probabilities;bayes theorem"}
110
+ {"question": "In the domain of Natural Language Processing, I know about the concept of backpropagation, now I want to learn about the concept of neural parsing, what concept path should I follow?", "answer": "backpropagation;neural networks;neural parsing"}
111
+ {"question": "In the domain of Natural Language Processing, I know about the concept of syntax, now I want to learn about the concept of syntax based machine translation, what concept path should I follow?", "answer": "syntax;syntax based machine translation"}
112
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of evaluation of text classification, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;evaluation of text classification"}
113
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of Variations of GANs, what concept path should I follow?", "answer": "machine learning resources;loss function;Variations of GANs"}
114
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of robotic locomotion, what concept path should I follow?", "answer": "optimization;machine learning resources;random walks and harmonic functions;Unsupervised learning;reinforcement learning;robotics;robotic locomotion"}
115
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of structured learning, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning"}
116
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of linear regression, what concept path should I follow?", "answer": "machine learning resources;linear regression"}
117
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of topic modeling, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;word distributions;topic modeling"}
118
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of bag of words model, what concept path should I follow?", "answer": "vector representations;bag of words model"}
119
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of recursive neural networks, what concept path should I follow?", "answer": "machine learning resources;semi-supervised learning;neural networks;training neural networks;recursive neural networks"}
120
+ {"question": "In the domain of Natural Language Processing, I know about the concept of Unsupervised learning, now I want to learn about the concept of Autoencoders, what concept path should I follow?", "answer": "Unsupervised learning;neural networks;Autoencoders"}
121
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of word embedding, what concept path should I follow?", "answer": "loss function;machine learning resources;word embedding"}
122
+ {"question": "In the domain of Natural Language Processing, I know about the concept of text similarity, now I want to learn about the concept of social network extraction, what concept path should I follow?", "answer": "text similarity;information extraction;social network extraction"}
123
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of neural language modeling, what concept path should I follow?", "answer": "machine learning resources;semi-supervised learning;neural networks;neural language modeling"}
124
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector semantics, now I want to learn about the concept of automated essay scoring, what concept path should I follow?", "answer": "vector semantics;semantic similarity;automated essay scoring"}
125
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of statistical parsing, what concept path should I follow?", "answer": "natural language processing intro;parsing;statistical parsing"}
126
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of document representation, what concept path should I follow?", "answer": "linguistics basics;document representation"}
127
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine translation, now I want to learn about the concept of neural machine translation, what concept path should I follow?", "answer": "machine translation;machine translation techniques;neural machine translation"}
128
+ {"question": "In the domain of Natural Language Processing, I know about the concept of monte carlo methods, now I want to learn about the concept of latent dirichlet allocation, what concept path should I follow?", "answer": "monte carlo methods;latent dirichlet allocation"}
129
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of semantic similarity, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;vector semantics;semantic similarity"}
130
+ {"question": "In the domain of Natural Language Processing, I know about the concept of information retrieval, now I want to learn about the concept of citation networks, what concept path should I follow?", "answer": "information retrieval;toolkits for information retrieval;information extraction;social network extraction;citation networks"}
131
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of stack lstm, what concept path should I follow?", "answer": "optimization;machine learning resources;semi-supervised learning;neural networks;training neural networks;stack lstm"}
132
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of word embedding, what concept path should I follow?", "answer": "machine learning resources;word embedding"}
133
+ {"question": "In the domain of Natural Language Processing, I know about the concept of Sampling, now I want to learn about the concept of gibbs sampling, what concept path should I follow?", "answer": "Sampling;gibbs sampling"}
134
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of sentence boundary recognition, what concept path should I follow?", "answer": "optimization;machine learning resources;loss function;classification;sentence boundary recognition"}
135
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of Meta-Learning, what concept path should I follow?", "answer": "probabilities;Meta-Learning"}
136
+ {"question": "In the domain of Natural Language Processing, I know about the concept of semantic similarity, now I want to learn about the concept of sentence simplification, what concept path should I follow?", "answer": "semantic similarity;sentence simplification"}
137
+ {"question": "In the domain of Natural Language Processing, I know about the concept of sentence representations, now I want to learn about the concept of automated essay scoring, what concept path should I follow?", "answer": "sentence representations;automated essay scoring"}
138
+ {"question": "In the domain of Natural Language Processing, I know about the concept of toolkits for information retrieval, now I want to learn about the concept of text mining, what concept path should I follow?", "answer": "toolkits for information retrieval;text mining"}
139
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of scientific article summarization, what concept path should I follow?", "answer": "vector representations;structured learning;sentence representations;text summarization;neural summarization;scientific article summarization"}
140
+ {"question": "In the domain of Natural Language Processing, I know about the concept of information retrieval, now I want to learn about the concept of search engines, what concept path should I follow?", "answer": "information retrieval;search engines"}
141
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of training neural networks, what concept path should I follow?", "answer": "machine learning resources;semi-supervised learning;neural networks;training neural networks"}
142
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of evaluation of dependency parsing, what concept path should I follow?", "answer": "natural language processing intro;parsing;dependency parsing;evaluation of dependency parsing"}
143
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of latent variable models, what concept path should I follow?", "answer": "probabilities;latent variable models"}
144
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of relation extraction, what concept path should I follow?", "answer": "probabilities;structured learning;vector semantics;semantic similarity;relation extraction"}
145
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of sentence boundary recognition, what concept path should I follow?", "answer": "linguistics basics;sentence boundary recognition"}
146
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of topic modeling, what concept path should I follow?", "answer": "probabilities;structured learning;word distributions;topic modeling"}
147
+ {"question": "In the domain of Natural Language Processing, I know about the concept of parsing, now I want to learn about the concept of first-order logic, what concept path should I follow?", "answer": "parsing;semi supervised learning;first-order logic"}
148
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of recommendation system, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;structured learning;vector semantics;recommendation system"}
149
+ {"question": "In the domain of Natural Language Processing, I know about the concept of latent variable models, now I want to learn about the concept of linear discriminant analysis, what concept path should I follow?", "answer": "latent variable models;linear discriminant analysis"}
150
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of speech processing, what concept path should I follow?", "answer": "probabilities;speech processing"}
151
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of word embedding variations, what concept path should I follow?", "answer": "vector representations;structured learning;word distributions;word embedding;word embedding variations"}
152
+ {"question": "In the domain of Natural Language Processing, I know about the concept of text similarity, now I want to learn about the concept of citation networks, what concept path should I follow?", "answer": "text similarity;information extraction;social network extraction;citation networks"}
153
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of nlp for biology, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;vector semantics;bio text mining;nlp for biology"}
154
+ {"question": "In the domain of Natural Language Processing, I know about the concept of parsing, now I want to learn about the concept of first-order logic, what concept path should I follow?", "answer": "parsing;semi supervised learning;first-order logic"}
155
+ {"question": "In the domain of Natural Language Processing, I know about the concept of seq2seq, now I want to learn about the concept of neural summarization, what concept path should I follow?", "answer": "seq2seq;neural summarization"}
156
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of information extraction, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;structured learning;sentence representations;information extraction"}
157
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of text to speech generation, what concept path should I follow?", "answer": "linguistics basics;speech processing;text to speech generation"}
158
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of neural networks, what concept path should I follow?", "answer": "optimization;machine learning resources;semi-supervised learning;neural networks"}
159
+ {"question": "In the domain of Natural Language Processing, I know about the concept of multilingual machine translation, now I want to learn about the concept of universal cross-language representation, what concept path should I follow?", "answer": "multilingual machine translation;universal cross-language representation"}
160
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of syntaxnet, what concept path should I follow?", "answer": "loss function;machine learning resources;semi-supervised learning;neural networks;syntaxnet"}
161
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector semantics, now I want to learn about the concept of kernels, what concept path should I follow?", "answer": "vector semantics;kernels"}
162
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of computational phonology, what concept path should I follow?", "answer": "linguistics basics;computational phonology"}
163
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of social network extraction, what concept path should I follow?", "answer": "structured learning;sentence representations;information extraction;social network extraction"}
164
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of named entity recognition, what concept path should I follow?", "answer": "natural language processing intro;named entity recognition"}
165
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of scientific article summarization, what concept path should I follow?", "answer": "structured learning;sentence representations;text summarization;neural summarization;scientific article summarization"}
166
+ {"question": "In the domain of Natural Language Processing, I know about the concept of extractive summarization, now I want to learn about the concept of Multi-News dataset creation, what concept path should I follow?", "answer": "extractive summarization;Multi-News dataset creation"}
167
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of semi-supervised learning, what concept path should I follow?", "answer": "optimization;machine learning resources;semi-supervised learning"}
168
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of transition based dependency parsing, what concept path should I follow?", "answer": "natural language processing intro;parsing;dependency parsing;transition based dependency parsing"}
169
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of social media analysis, what concept path should I follow?", "answer": "loss function;classification;sentiment analysis;social media analysis"}
170
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of neural parsing, what concept path should I follow?", "answer": "optimization;machine learning resources;semi-supervised learning;neural networks;neural parsing"}
171
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of loss function, what concept path should I follow?", "answer": "optimization;machine learning resources;loss function"}
172
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of character level language models, what concept path should I follow?", "answer": "structured learning;word distributions;character level language models"}
173
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of recommendation system, what concept path should I follow?", "answer": "linguistics basics;recommendation system"}
174
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of kernel function, what concept path should I follow?", "answer": "machine learning resources;kernel function"}
175
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word embedding, now I want to learn about the concept of multilingual word embedding, what concept path should I follow?", "answer": "word embedding;word embedding variations;multilingual word embedding"}
176
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of latent dirichlet allocation, what concept path should I follow?", "answer": "probabilities;monte carlo methods;latent dirichlet allocation"}
177
+ {"question": "In the domain of Natural Language Processing, I know about the concept of parsing, now I want to learn about the concept of event detection, what concept path should I follow?", "answer": "parsing;event detection"}
178
+ {"question": "In the domain of Natural Language Processing, I know about the concept of backpropagation, now I want to learn about the concept of stack lstm, what concept path should I follow?", "answer": "backpropagation;neural networks;training neural networks;stack lstm"}
179
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of speech synthesis, what concept path should I follow?", "answer": "loss function;speech processing;speech synthesis"}
180
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of query expansion, what concept path should I follow?", "answer": "linguistics basics;morphology and lexicon;query expansion"}
181
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of vector semantics, what concept path should I follow?", "answer": "probabilities;structured learning;vector semantics"}
182
+ {"question": "In the domain of Natural Language Processing, I know about the concept of neural networks, now I want to learn about the concept of recursive neural networks, what concept path should I follow?", "answer": "neural networks;training neural networks;recursive neural networks"}
183
+ {"question": "In the domain of Natural Language Processing, I know about the concept of deep learning introduction, now I want to learn about the concept of word embedding variations, what concept path should I follow?", "answer": "deep learning introduction;word embedding;word embedding variations"}
184
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of thesaurus-based similarity, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;vector semantics;semantic similarity;thesaurus-based similarity"}
185
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of linear discriminant analysis, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;linear discriminant analysis"}
186
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of word distributions, what concept path should I follow?", "answer": "structured learning;word distributions"}
187
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of social media analysis, what concept path should I follow?", "answer": "machine learning resources;random walks and harmonic functions;sentiment analysis;social media analysis"}
188
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of text to speech generation, what concept path should I follow?", "answer": "linguistics basics;speech processing;text to speech generation"}
189
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of text to speech generation, what concept path should I follow?", "answer": "loss function;speech processing;text to speech generation"}
190
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of bayes theorem, what concept path should I follow?", "answer": "probabilities;bayes theorem"}
191
+ {"question": "In the domain of Natural Language Processing, I know about the concept of bayes theorem, now I want to learn about the concept of neural question answering, what concept path should I follow?", "answer": "bayes theorem;question answering;neural question answering"}
192
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of linear regression, what concept path should I follow?", "answer": "machine learning resources;linear regression"}
193
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of sentence boundary recognition, what concept path should I follow?", "answer": "loss function;classification;sentence boundary recognition"}
194
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of transition based dependency parsing, what concept path should I follow?", "answer": "linguistics basics;shift-reduce parsing;transition based dependency parsing"}
195
+ {"question": "In the domain of Natural Language Processing, I know about the concept of multilingual machine translation, now I want to learn about the concept of universal cross-language representation, what concept path should I follow?", "answer": "multilingual machine translation;universal cross-language representation"}
196
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of neural language modeling, what concept path should I follow?", "answer": "loss function;machine learning resources;semi-supervised learning;neural networks;neural language modeling"}
197
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of relation extraction, what concept path should I follow?", "answer": "loss function;machine learning resources;random walks and harmonic functions;relation extraction"}
198
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of bag of words model, what concept path should I follow?", "answer": "n-gram models;word distributions;vector representations;bag of words model"}
199
+ {"question": "In the domain of Natural Language Processing, I know about the concept of random walks and harmonic functions, now I want to learn about the concept of Unsupervised learning, what concept path should I follow?", "answer": "random walks and harmonic functions;Unsupervised learning"}
200
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of tsne, what concept path should I follow?", "answer": "optimization;machine learning resources;random walks and harmonic functions;Unsupervised learning;tsne"}
201
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of speech processing, what concept path should I follow?", "answer": "optimization;machine learning resources;loss function;speech processing"}
202
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of neural question answering, what concept path should I follow?", "answer": "loss function;machine learning resources;semi-supervised learning;neural networks;neural question answering"}
203
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of social network extraction, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;sentence representations;information extraction;social network extraction"}
204
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of hidden markov models, what concept path should I follow?", "answer": "probabilities;bayesian network;hidden markov models"}
205
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of lexicography, what concept path should I follow?", "answer": "linguistics basics;lexicography"}
206
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of neural question answering, what concept path should I follow?", "answer": "loss function;machine learning resources;semi-supervised learning;neural networks;neural question answering"}
207
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of semantic role labeling, what concept path should I follow?", "answer": "linguistics basics;semantic role labeling"}
208
+ {"question": "In the domain of Natural Language Processing, I know about the concept of random walks and harmonic functions, now I want to learn about the concept of spectral clustering, what concept path should I follow?", "answer": "random walks and harmonic functions;Unsupervised learning;spectral clustering"}
209
+ {"question": "In the domain of Natural Language Processing, I know about the concept of dependency parsing, now I want to learn about the concept of transition based dependency parsing, what concept path should I follow?", "answer": "dependency parsing;transition based dependency parsing"}
210
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of language identification, what concept path should I follow?", "answer": "linguistics basics;language identification"}
211
+ {"question": "In the domain of Natural Language Processing, I know about the concept of language modeling, now I want to learn about the concept of text generation, what concept path should I follow?", "answer": "language modeling;evaluation of language modeling;text generation"}
212
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of Unsupervised learning, what concept path should I follow?", "answer": "loss function;machine learning resources;random walks and harmonic functions;Unsupervised learning"}
213
+ {"question": "In the domain of Natural Language Processing, I know about the concept of question answering, now I want to learn about the concept of long-form question answering, what concept path should I follow?", "answer": "question answering;long-form question answering"}
214
+ {"question": "In the domain of Natural Language Processing, I know about the concept of probabilities, now I want to learn about the concept of mathematical models, what concept path should I follow?", "answer": "probabilities;mathematical models"}
215
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of first-order logic, what concept path should I follow?", "answer": "natural language processing intro;parsing;semi supervised learning;first-order logic"}
216
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of text mining, what concept path should I follow?", "answer": "vector representations;structured learning;sentence representations;text mining"}
217
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of spectral clustering, what concept path should I follow?", "answer": "optimization;machine learning resources;random walks and harmonic functions;Unsupervised learning;spectral clustering"}
218
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word distributions, now I want to learn about the concept of context free grammars, what concept path should I follow?", "answer": "word distributions;vector representations;structured learning;vector semantics;context free grammars"}
219
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of nlp for biology, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;vector semantics;bio text mining;nlp for biology"}
220
+ {"question": "In the domain of Natural Language Processing, I know about the concept of structured learning, now I want to learn about the concept of multilingual word embedding, what concept path should I follow?", "answer": "structured learning;word distributions;vector representations;word embedding;word embedding variations;multilingual word embedding"}
221
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine translation, now I want to learn about the concept of machine translation techniques, what concept path should I follow?", "answer": "machine translation;machine translation techniques"}
222
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of scientific article summarization, what concept path should I follow?", "answer": "vector representations;structured learning;sentence representations;text summarization;neural summarization;scientific article summarization"}
223
+ {"question": "In the domain of Natural Language Processing, I know about the concept of random walks and harmonic functions, now I want to learn about the concept of k means, what concept path should I follow?", "answer": "random walks and harmonic functions;Unsupervised learning;k means"}
224
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of query expansion, what concept path should I follow?", "answer": "linguistics basics;morphology and lexicon;query expansion"}
225
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of agent-based view of ai, what concept path should I follow?", "answer": "optimization;machine learning resources;random walks and harmonic functions;Unsupervised learning;reinforcement learning;agent-based view of ai"}
226
+ {"question": "In the domain of Natural Language Processing, I know about the concept of clustering, now I want to learn about the concept of expectation maximization algorithm, what concept path should I follow?", "answer": "clustering;Mixture Models;expectation maximization algorithm"}
227
+ {"question": "In the domain of Natural Language Processing, I know about the concept of python, now I want to learn about the concept of tools for dl, what concept path should I follow?", "answer": "python;tools for dl"}
228
+ {"question": "In the domain of Natural Language Processing, I know about the concept of neural networks, now I want to learn about the concept of syntaxnet, what concept path should I follow?", "answer": "neural networks;syntaxnet"}
229
+ {"question": "In the domain of Natural Language Processing, I know about the concept of lexical semantics, now I want to learn about the concept of event detection, what concept path should I follow?", "answer": "lexical semantics;event detection"}
230
+ {"question": "In the domain of Natural Language Processing, I know about the concept of beam search, now I want to learn about the concept of neural summarization, what concept path should I follow?", "answer": "beam search;neural summarization"}
231
+ {"question": "In the domain of Natural Language Processing, I know about the concept of vector representations, now I want to learn about the concept of bio text mining, what concept path should I follow?", "answer": "vector representations;structured learning;vector semantics;bio text mining"}
232
+ {"question": "In the domain of Natural Language Processing, I know about the concept of seq2seq, now I want to learn about the concept of scientific article summarization, what concept path should I follow?", "answer": "seq2seq;neural summarization;scientific article summarization"}
233
+ {"question": "In the domain of Natural Language Processing, I know about the concept of n-gram models, now I want to learn about the concept of evaluation of language modeling, what concept path should I follow?", "answer": "n-gram models;word distributions;language modeling;evaluation of language modeling"}
234
+ {"question": "In the domain of Natural Language Processing, I know about the concept of natural language processing intro, now I want to learn about the concept of tsne, what concept path should I follow?", "answer": "natural language processing intro;vector representations;structured learning;vector semantics;tsne"}
235
+ {"question": "In the domain of Natural Language Processing, I know about the concept of search, now I want to learn about the concept of logic and logical agents, what concept path should I follow?", "answer": "search;logic and logical agents"}
236
+ {"question": "In the domain of Natural Language Processing, I know about the concept of dimensionality reduction, now I want to learn about the concept of matrix factorization, what concept path should I follow?", "answer": "dimensionality reduction;Principal Component Analysis;matrix factorization"}
237
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of Variations of GANs, what concept path should I follow?", "answer": "loss function;Variations of GANs"}
238
+ {"question": "In the domain of Natural Language Processing, I know about the concept of word embedding variations, now I want to learn about the concept of word sense disambiguation, what concept path should I follow?", "answer": "word embedding variations;word sense disambiguation"}
239
+ {"question": "In the domain of Natural Language Processing, I know about the concept of text similarity, now I want to learn about the concept of event detection, what concept path should I follow?", "answer": "text similarity;event detection"}
240
+ {"question": "In the domain of Natural Language Processing, I know about the concept of optimization, now I want to learn about the concept of word sense disambiguation, what concept path should I follow?", "answer": "optimization;machine learning resources;word embedding;word embedding variations;word sense disambiguation"}
241
+ {"question": "In the domain of Natural Language Processing, I know about the concept of Unsupervised learning, now I want to learn about the concept of memory networks, what concept path should I follow?", "answer": "Unsupervised learning;neural networks;memory networks"}
242
+ {"question": "In the domain of Natural Language Processing, I know about the concept of machine learning resources, now I want to learn about the concept of word sense disambiguation, what concept path should I follow?", "answer": "machine learning resources;word embedding;word embedding variations;word sense disambiguation"}
243
+ {"question": "In the domain of Natural Language Processing, I know about the concept of semi-supervised learning, now I want to learn about the concept of graph convolutional networks, what concept path should I follow?", "answer": "semi-supervised learning;graph convolutional networks"}
244
+ {"question": "In the domain of Natural Language Processing, I know about the concept of semi supervised learning, now I want to learn about the concept of first-order logic, what concept path should I follow?", "answer": "semi supervised learning;first-order logic"}
245
+ {"question": "In the domain of Natural Language Processing, I know about the concept of Unsupervised learning, now I want to learn about the concept of graph convolutional networks, what concept path should I follow?", "answer": "Unsupervised learning;neural networks;convolutional neural networks;graph convolutional networks"}
246
+ {"question": "In the domain of Natural Language Processing, I know about the concept of loss function, now I want to learn about the concept of Unsupervised learning, what concept path should I follow?", "answer": "loss function;machine learning resources;random walks and harmonic functions;Unsupervised learning"}
247
+ {"question": "In the domain of Natural Language Processing, I know about the concept of monte carlo methods, now I want to learn about the concept of latent dirichlet allocation, what concept path should I follow?", "answer": "monte carlo methods;latent dirichlet allocation"}
248
+ {"question": "In the domain of Natural Language Processing, I know about the concept of aspect-sentiment pairs, now I want to learn about the concept of sentiment knowledge, what concept path should I follow?", "answer": "aspect-sentiment pairs;sentiment knowledge"}
249
+ {"question": "In the domain of Natural Language Processing, I know about the concept of linguistics basics, now I want to learn about the concept of context free grammars, what concept path should I follow?", "answer": "linguistics basics;context free grammars"}
250
+ {"question": "In the domain of Natural Language Processing, I know about the concept of training neural networks, now I want to learn about the concept of recursive neural networks, what concept path should I follow?", "answer": "training neural networks;recursive neural networks"}
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1
+ {"question": "Given the concept abstractive summarization, can you provide some similar concepts? Please provide some similar concepts.", "answer": "extractive summarization;neural abstractive summarization model;extractive summarization model;controllable summarization;single document summarization"}
2
+ {"question": "Given the concept adversarial attack, can you provide some similar concepts? Please provide some similar concepts.", "answer": "adversarial search;adversarial sample;adversarial purification"}
3
+ {"question": "Given the concept agent-based view of ai, can you provide some similar concepts? Please provide some similar concepts.", "answer": "game playing in ai;multi-agent systems;logic and logical agents"}
4
+ {"question": "Given the concept AlphaGo, can you provide some similar concepts? Please provide some similar concepts.", "answer": "game playing in ai;agent-based view of ai;deep learning tools;chinese nlp;generative adversarial networks;neural question answering;monte carlo tree search"}
5
+ {"question": "Given the concept aspect-sentiment pairs, can you provide some similar concepts? Please provide some similar concepts.", "answer": "sentiment analysis;sentence embeddings;aspect extraction;sentence representations;text classification"}
6
+ {"question": "Given the concept autoencoders, can you provide some similar concepts? Please provide some similar concepts.", "answer": "encoder;decoder;entropy;recursive neural network;perceptron;neural network;recursive neural networks"}
7
+ {"question": "Given the concept bayes theorem, can you provide some similar concepts? Please provide some similar concepts.", "answer": "bayesian network;variational bayes models;conditional probability;Naive Bayes;probabilities;maximum likelihood estimation"}
8
+ {"question": "Given the concept beam search, can you provide some similar concepts? Please provide some similar concepts.", "answer": "heuristic search;graph theory;greedy algorithm;a* search"}
9
+ {"question": "Given the concept Belief Propagation, can you provide some similar concepts? Please provide some similar concepts.", "answer": "conditional probability;bayes theorem;bayesian network;message passing"}
10
+ {"question": "Given the concept BERT, can you provide some similar concepts? Please provide some similar concepts.", "answer": "ELMo;Transformers;language modeling; transformers; pretrained language modeling;word embeddings"}
11
+ {"question": "Given the concept bidirectional recurrent neural networks, can you provide some similar concepts? Please provide some similar concepts.", "answer": "recurrent neural networks;lstm;neural networks;convolutional neural networks"}
12
+ {"question": "Given the concept bilingual word embeddings, can you provide some similar concepts? Please provide some similar concepts.", "answer": "multilingual word embedding;cross-lingual word embeddings;unsupervised bilingual word embeddings;monolingual word embeddings;cross lingual word embeddings;word embeddings;cross lingual embeddings"}
13
+ {"question": "Given the concept Canonical Correlation Analysis, can you provide some similar concepts? Please provide some similar concepts.", "answer": "Principal Component Analysis;linear discriminant analysis;linear regression"}
14
+ {"question": "Given the concept citation networks, can you provide some similar concepts? Please provide some similar concepts.", "answer": "knowledge graph;collaborative filtering;recommendation systems;social network extraction;graph-based nlp;named entity recognition"}
15
+ {"question": "Given the concept computer vision, can you provide some similar concepts? Please provide some similar concepts.", "answer": "nlp and vision;image classification;visual semantic;object detection;machine learning;entity detection;Visual Question Answering"}
16
+ {"question": "Given the concept context-sensitive grammars, can you provide some similar concepts? Please provide some similar concepts.", "answer": "context sensitive grammar;context free grammars;context free grammar;probabilistic grammars;probabilistic context free grammars"}
17
+ {"question": "Given the concept contextualized embeddings, can you provide some similar concepts? Please provide some similar concepts.", "answer": "pretrained contextual embeddings;word embeddings;representation learning;contextualized representation;entity embeddings;cross lingual embeddings;multimodal embeddings;sentence embeddings"}
18
+ {"question": "Given the concept convolutional neural networks, can you provide some similar concepts? Please provide some similar concepts.", "answer": "graph convolutional networks;recursive neural networks;neural networks;recursive neural network;recurrent neural networks"}
19
+ {"question": "Given the concept decision trees, can you provide some similar concepts? Please provide some similar concepts.", "answer": "random forest;expert systems;support vector machines;machine learning;classification"}
20
+ {"question": "Given the concept decoder, can you provide some similar concepts? Please provide some similar concepts.", "answer": "encoder;dialog systems;sequence to sequence;Autoencoders;text generation"}
21
+ {"question": "Given the concept dense retrieval, can you provide some similar concepts? Please provide some similar concepts.", "answer": "sparse retrieval;hybrid retrieval;information retrieval;image retrieval;evaluation of information retrieval;information extraction"}
22
+ {"question": "Given the concept Dependency graph, can you provide some similar concepts? Please provide some similar concepts.", "answer": "dependency parsing;parsing;dependency syntax"}
23
+ {"question": "Given the concept dialog systems, can you provide some similar concepts? Please provide some similar concepts.", "answer": "dialog generation;dialogue modeling;chat bots;question answering system;text generation"}
24
+ {"question": "Given the concept document ranking, can you provide some similar concepts? Please provide some similar concepts.", "answer": "document representation;document modeling;Hierarchical document encoder;search engine indexing;pagerank;information retrieval"}
25
+ {"question": "Given the concept domain adaptation, can you provide some similar concepts? Please provide some similar concepts.", "answer": "representation learning;transfer learning"}
26
+ {"question": "Given the concept earley parsing, can you provide some similar concepts? Please provide some similar concepts.", "answer": "parsing;unlexicalized parsing;shallow parsing;semantic parsing;lexicalized parsing;classic parsing methods;neural parsing"}
27
+ {"question": "Given the concept emotion recognition, can you provide some similar concepts? Please provide some similar concepts.", "answer": "multi-modal emotion recognition;facial recognition systems"}
28
+ {"question": "Given the concept evaluation of information retrieval, can you provide some similar concepts? Please provide some similar concepts.", "answer": "information retrieval;toolkits for information retrieval;information extraction;image retrieval;sparse retrieval"}
29
+ {"question": "Given the concept event extraction, can you provide some similar concepts? Please provide some similar concepts.", "answer": "clinical event extraction;event detection;information extraction;relation extraction;social network extraction"}
30
+ {"question": "Given the concept feature selection, can you provide some similar concepts? Please provide some similar concepts.", "answer": "feature learning;aspect extraction;sparse retrieval;representation learning"}
31
+ {"question": "Given the concept finite state machine, can you provide some similar concepts? Please provide some similar concepts.", "answer": "finite state transducers;State Space Models;neural turing machin"}
32
+ {"question": "Given the concept first-order logic, can you provide some similar concepts? Please provide some similar concepts.", "answer": "first order logic;propositional logic;predicate logic;logic and reasoning;logic and logical agents"}
33
+ {"question": "Given the concept Gaussian graphical models, can you provide some similar concepts? Please provide some similar concepts.", "answer": "Kernel Graphical Models;graphical models;graph theory"}
34
+ {"question": "Given the concept graph-based nlp, can you provide some similar concepts? Please provide some similar concepts.", "answer": "information extraction;nlp for databases"}
35
+ {"question": "Given the concept greedy algorithms, can you provide some similar concepts? Please provide some similar concepts.", "answer": "genetic algorithms;expectation maximization algorithm;heuristic search;latent dirichlet allocation;monte carlo tree search"}
36
+ {"question": "Given the concept heuristic search, can you provide some similar concepts? Please provide some similar concepts.", "answer": "a* search"}
37
+ {"question": "Given the concept hierarchical attention network, can you provide some similar concepts? Please provide some similar concepts.", "answer": "long short term memory networks;recursive neural network;recursive neural networks;neural networks;recurrent neural network;neural network;attention model"}
38
+ {"question": "Given the concept image classification, can you provide some similar concepts? Please provide some similar concepts.", "answer": "image retrieval;relation classification;text classification;imagenet;entity detection;object detection"}
39
+ {"question": "Given the concept imagenet, can you provide some similar concepts? Please provide some similar concepts.", "answer": "image classification;image retrieval;ResNet;computer vision;entity detection;object detection;feature learning"}
40
+ {"question": "Given the concept kernels, can you provide some similar concepts? Please provide some similar concepts.", "answer": "kernel function;k means;neural networks"}
41
+ {"question": "Given the concept knowledge graph, can you provide some similar concepts? Please provide some similar concepts.", "answer": "knowledge graph completion;knowledge representation;knowledge base population;relation extraction;graph-based nlp"}
42
+ {"question": "Given the concept language models, can you provide some similar concepts? Please provide some similar concepts.", "answer": "language model;language modeling;character level language models;multilingual model;character level language model;evaluation of language modeling;hybrid language modeling"}
43
+ {"question": "Given the concept latent dirichlet allocation, can you provide some similar concepts? Please provide some similar concepts.", "answer": "Dirichlet Processes;latent variable models;maximum likelihood estimation;markov random fields;kullback leibler divergence;topic modeling"}
44
+ {"question": "Given the concept lexicalized parsing, can you provide some similar concepts? Please provide some similar concepts.", "answer": "unlexicalized parsing;semantic parsing;lexical semantics;neural parsing"}
45
+ {"question": "Given the concept linear discriminant analysis, can you provide some similar concepts? Please provide some similar concepts.", "answer": "linear regression;logistic regression;log-linear models;Principal Component Analysis"}
46
+ {"question": "Given the concept log-linear models, can you provide some similar concepts? Please provide some similar concepts.", "answer": "logistic regression;latent variable models;linear regression"}
47
+ {"question": "Given the concept loss function, can you provide some similar concepts? Please provide some similar concepts.", "answer": "logistic regression;log-linear models;cross entropy;linear regression;supervised learning;training;neural networks"}
48
+ {"question": "Given the concept machine translation, can you provide some similar concepts? Please provide some similar concepts.", "answer": "machine translation system;machine translation techniques;neural machine translation;multilingual machine translation;unsupervised machine translation;statistical machine translation;syntax based machine translation"}
49
+ {"question": "Given the concept markov chain monte carlo, can you provide some similar concepts? Please provide some similar concepts.", "answer": "Markov chains;markov random fields;monte carlo methods;hidden markov models;Markov Random Fields;markov decision processes;monte carlo tree search"}
50
+ {"question": "Given the concept markov random fields, can you provide some similar concepts? Please provide some similar concepts.", "answer": "Markov chains;markov chain monte carlo;hidden markov models;markov decision processesconditional random fields"}
51
+ {"question": "Given the concept matrix factorization, can you provide some similar concepts? Please provide some similar concepts.", "answer": "matrix multiplication;Principal Component Analysis;markov random fields;dimensionality reduction;maximum likelihood estimation;recommendation systems"}
52
+ {"question": "Given the concept monolingual word embedding, can you provide some similar concepts? Please provide some similar concepts.", "answer": "bilingual word embeddings;cross-lingual word embeddings;multilingual word embeddings;unsupervised bilingual word embeddings;cross lingual word embeddings;learning word embedding;word embedding"}
53
+ {"question": "Given the concept monte carlo tree search, can you provide some similar concepts? Please provide some similar concepts.", "answer": "monte carlo methods;markov chain monte carlo;a* search;heuristic search;problem solving and search;alphago"}
54
+ {"question": "Given the concept morphological analysis, can you provide some similar concepts? Please provide some similar concepts.", "answer": "morphological typology;morphological disambiguation;morphology and lexicon"}
55
+ {"question": "Given the concept multi-modal emotion recognition, can you provide some similar concepts? Please provide some similar concepts.", "answer": "multimodal affective computing;emotion recognition;multi-modal learning;multimodal embeddings;multimodal fusion;facial recognition systems"}
56
+ {"question": "Given the concept multi-modal learning, can you provide some similar concepts? Please provide some similar concepts.", "answer": "multi-task learning;ensemble learning;multimodal embeddings;multimodal fusion;multi-modal emotion recognition"}
57
+ {"question": "Given the concept multilingual word embedding, can you provide some similar concepts? Please provide some similar concepts.", "answer": "word embedding;monolingual word embeddings;cross lingual word embeddings;cross-lingual word embeddings;bilingual word embeddings"}
58
+ {"question": "Given the concept multimodal embeddings, can you provide some similar concepts? Please provide some similar concepts.", "answer": "multimodal fusion;multi-modal learning;contextualized embeddings"}
59
+ {"question": "Given the concept multimodal fusion, can you provide some similar concepts? Please provide some similar concepts.", "answer": "multimodal embeddings;multimodal learning;multi-modal emotion recognition"}
60
+ {"question": "Given the concept neural abstractive summarization model, can you provide some similar concepts? Please provide some similar concepts.", "answer": "abstractive summarization model;neural summarization;abstractive summarization;neural extractive summarization;controllable summarization"}
61
+ {"question": "Given the concept neural machine translation, can you provide some similar concepts? Please provide some similar concepts.", "answer": "machine translation;multilingual machine translation;machine translation system;unsupervised machine translation;statistical machine translation;machine translation techniques;syntax based machine translation"}
62
+ {"question": "Given the concept neural network, can you provide some similar concepts? Please provide some similar concepts.", "answer": "neural networks;neural network models;recursive neural network;recursive neural networks;training neural networks;recurrent neural network;convolutional neural network"}
63
+ {"question": "Given the concept neural question answering, can you provide some similar concepts? Please provide some similar concepts.", "answer": "question answering;evaluation of question answering;Visual Question Answering;question answering system;neural language modeling;sequence-to-sequence models;lstm"}
64
+ {"question": "Given the concept neural semantic parser, can you provide some similar concepts? Please provide some similar concepts.", "answer": "neural parsing;semantic parsing;neural language modeling"}
65
+ {"question": "Given the concept neural topic modeling, can you provide some similar concepts? Please provide some similar concepts.", "answer": "neural language modeling;neural network models;topic modeling;neural networks"}
66
+ {"question": "Given the concept news summarization, can you provide some similar concepts? Please provide some similar concepts.", "answer": "text summarization;scientific article summarization;single document summarization;extractive summarization;neural summarization"}
67
+ {"question": "Given the concept nlp for databases, can you provide some similar concepts? Please provide some similar concepts.", "answer": "graph-based nlp;knowledge graph;information extraction;code generation semantic parsing"}
68
+ {"question": "Given the concept pagerank, can you provide some similar concepts? Please provide some similar concepts.", "answer": "document ranking;graph-based nlp;document representation;search engine indexing;document modeling;n-gram models"}
69
+ {"question": "Given the concept parsing, can you provide some similar concepts? Please provide some similar concepts.", "answer": "parsing evaluation;parsing model;semantic parsing;statistical parsing;shallow parsing;classic parsing methods;discourse parsing"}
70
+ {"question": "Given the concept parts of speech, can you provide some similar concepts? Please provide some similar concepts.", "answer": "part of speech tagging;statistical part of speech tagging"}
71
+ {"question": "Given the concept Principal Component Analysis, can you provide some similar concepts? Please provide some similar concepts.", "answer": "Canonical Correlation Analysis;matrix factorization;linear discriminant analysis;singular value decomposition;maximum likelihood estimation;spectral clustering"}
72
+ {"question": "Given the concept probabilistic context free grammars, can you provide some similar concepts? Please provide some similar concepts.", "answer": "probabilistic grammars;context free grammars;context-sensitive grammars;context sensitive grammary"}
73
+ {"question": "Given the concept probabilistic grammars, can you provide some similar concepts? Please provide some similar concepts.", "answer": "probablistic context free grammars;context free grammars;context free grammar;context sensitive grammar;combinatory categorial grammar;conditional probability"}
74
+ {"question": "Given the concept propositional logic, can you provide some similar concepts? Please provide some similar concepts.", "answer": "predicate logic;first-order logic;logic and reasoning;first order logic"}
75
+ {"question": "Given the concept random forest, can you provide some similar concepts? Please provide some similar concepts.", "answer": "decision trees;classification;feature selection"}
76
+ {"question": "Given the concept recommendation system, can you provide some similar concepts? Please provide some similar concepts.", "answer": "collaborative filtering;matrix factorization"}
77
+ {"question": "Given the concept robotic locomotion, can you provide some similar concepts? Please provide some similar concepts.", "answer": "robotics;autonomous cars"}
78
+ {"question": "Given the concept ROUGE, can you provide some similar concepts? Please provide some similar concepts.", "answer": "BLUE;text summarization;summarization evaluation"}
79
+ {"question": "Given the concept search, can you provide some similar concepts? Please provide some similar concepts.", "answer": "search engines;informed search;a* search;adversarial search"}
80
+ {"question": "Given the concept sentence representations, can you provide some similar concepts? Please provide some similar concepts.", "answer": "word embeddings;sentence selection;sentence embeddings;sentence segmentation"}
81
+ {"question": "Given the concept sentence selection, can you provide some similar concepts? Please provide some similar concepts.", "answer": "sentence representations;extractive summarization;sentence segmentation;sentence embeddings;sentence boundary recognition"}
82
+ {"question": "Given the concept sentiment analysis, can you provide some similar concepts? Please provide some similar concepts.", "answer": "sentiment classification;aspect sentiment;sentence embeddings;social media analysis;text mining;text classification;neural text classifier"}
83
+ {"question": "Given the concept sequence labeling model, can you provide some similar concepts? Please provide some similar concepts.", "answer": "sequence tagging;sequence-to-sequence models;semantic role labeling;sequence classification and conditional random fields"}
84
+ {"question": "Given the concept shallow parsing, can you provide some similar concepts? Please provide some similar concepts.", "answer": "parsing;semantic parsing;unlexicalized parsing;classic parsing methods;parsing evaluation;parsing model;statistical parsing"}
85
+ {"question": "Given the concept spectral clustering, can you provide some similar concepts? Please provide some similar concepts.", "answer": "spectral methods;clustering;structured sparsity;linear discriminant analysis;"}
86
+ {"question": "Given the concept speech recognition, can you provide some similar concepts? Please provide some similar concepts.", "answer": "speech processing;speech synthesis;unsupervised speech recognition;text to speech generation;speech signal analysis"}
87
+ {"question": "Given the concept State Space Models, can you provide some similar concepts? Please provide some similar concepts.", "answer": "finite state machines;finite state transducers;graphical models;Mixture Models;log-linear models;neural network models"}
88
+ {"question": "Given the concept stemming, can you provide some similar concepts? Please provide some similar concepts.", "answer": "preprocessing"}
89
+ {"question": "Given the concept story ending generation, can you provide some similar concepts? Please provide some similar concepts.", "answer": "text generation;sentence generation;seq2seq text generation;neural text generation"}
90
+ {"question": "Given the concept text simplification, can you provide some similar concepts? Please provide some similar concepts.", "answer": "sentence simplification;text generation;text similarity;sentence embeddings"}
91
+ {"question": "Given the concept topic modeling, can you provide some similar concepts? Please provide some similar concepts.", "answer": "language modeling;language model;neural topic modeling;language models"}
92
+ {"question": "Given the concept transfer learning, can you provide some similar concepts? Please provide some similar concepts.", "answer": "domain adaptation;feature learning;supervised learning;semi supervised learning"}
93
+ {"question": "Given the concept Transformers, can you provide some similar concepts? Please provide some similar concepts.", "answer": "BERT;pretrained langauge models;lstm;rnn;attention networks"}
94
+ {"question": "Given the concept universal cross-language representation, can you provide some similar concepts? Please provide some similar concepts.", "answer": "multilingual model;multilingual machine translation;cross-lingual word embeddings;multilingual word embedding;cross lingual embeddings;distributed word representation"}
95
+ {"question": "Given the concept unsupervised speech recognition, can you provide some similar concepts? Please provide some similar concepts.", "answer": "unsupervised speech-to-text translation;speech recognition;unsupervised learning"}
96
+ {"question": "Given the concept unsupervised speech-to-text translation, can you provide some similar concepts? Please provide some similar concepts.", "answer": "unsupervised speech recognition;speech recognition;text to speech generation;speech signal analysis"}
97
+ {"question": "Given the concept WikiHop, can you provide some similar concepts? Please provide some similar concepts.", "answer": "MedHop;knowledge graph;question answering"}
98
+ {"question": "Given the concept word embeddings, can you provide some similar concepts? Please provide some similar concepts.", "answer": "sentence embeddings;semantic similarity;semantic relatedness;language modeling"}
99
+ {"question": "Given the concept a* search, can you provide some similar concepts? Please provide some similar concepts.", "answer": "heuristic search;graph theory;greedy algorithm;beam search"}
100
+ {"question": "Given the concept ELMO, can you provide some similar concepts? Please provide some similar concepts.", "answer": "Transformers;BERT;language modeling; transformers; pretrained language modeling;word embeddings"}
task6.jsonl ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"question": " I already know about automated essay scoring, neural summarization, social network extraction, neural machine translation, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
2
+ {"question": " I already know about social media analysis, sentence simplification, word embedding, relation extraction, text mining. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
3
+ {"question": " I already know about thesaurus-based similarity, multilingual word embedding, vector semantics, recommendation system, context free grammars. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
4
+ {"question": " I already know about toolkits for information retrieval, social network extraction, social media analysis, citation networks, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
5
+ {"question": " I already know about document ranking, information retrieval, text mining, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
6
+ {"question": " I already know about sentence simplification, semantic similarity, word sense disambiguation, linear discriminant analysis, kernels. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
7
+ {"question": " I already know about text mining, word sense disambiguation, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
8
+ {"question": " I already know about speech processing, speech synthesis, text to speech generation, speech signal analysis. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
9
+ {"question": " I already know about multilingual word embedding, syntaxnet, word embedding, word sense disambiguation, word embedding variations. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
10
+ {"question": " I already know about structured learning, context free grammars, course introduction, tsne. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
11
+ {"question": " I already know about memory networks, spectral clustering, tsne, neural parsing, Unsupervised learning. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
12
+ {"question": " I already know about evaluation of language modeling, character level language models, text generation, language modeling. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
13
+ {"question": " I already know about dependency parsing, syntaxnet, statistical parsing, neural parsing, first-order logic. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
14
+ {"question": " I already know about structured learning, n-gram models, word sense disambiguation, kernels, word embedding variations. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
15
+ {"question": " I already know about sentiment analysis, neural question answering, tsne, Autoencoders. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
16
+ {"question": " I already know about event detection, dependency parsing, syntaxnet, semi supervised learning, evaluation of dependency parsing. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
17
+ {"question": " I already know about discourse analysis, vector semantics, morphology and semantics in machine translation, word segmentation, knowledge representation. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
18
+ {"question": " I already know about kernel function, expectation maximization algorithm, Mixture Models. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
19
+ {"question": " I already know about pointer networks, graph convolutional networks, recursive neural networks, training neural networks. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
20
+ {"question": " I already know about neural question answering, social media analysis, topic modeling, relation extraction, word embedding variations. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
21
+ {"question": " I already know about nlp for biology, social media analysis, document representation, bio text mining, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
22
+ {"question": " I already know about morphology and semantics in machine translation, machine translation techniques, syntax based machine translation, noisy channel model. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
23
+ {"question": " I already know about markov decision processes, latent dirichlet allocation, markov chain monte carlo, Markov chains. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
24
+ {"question": " I already know about syntax, dependency syntax, shift-reduce parsing, first-order logic. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
25
+ {"question": " I already know about logic and logical agents, robotic locomotion, adversarial search, propositional logic, agent-based view of ai. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
26
+ {"question": " I already know about evaluation of language modeling, neural language modeling, character level language models, text generation, language modeling. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
27
+ {"question": " I already know about social network extraction, citation networks, text mining, query expansion, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
28
+ {"question": " I already know about structured learning, multilingual word embedding, neural machine translation, relation extraction, word embedding variations. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
29
+ {"question": " I already know about cky parsing, context sensitive grammar, context free grammar. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
30
+ {"question": " I already know about syntaxnet, penn treebank, dependency syntax. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
31
+ {"question": " I already know about toolkits for information retrieval, social media analysis, information retrieval, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
32
+ {"question": " I already know about citation networks, graph-based nlp, pagerank. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
33
+ {"question": " I already know about question answering, bayesian network, hidden markov models, bayes theorem, course introduction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
34
+ {"question": " I already know about pointer networks, memory networks, neural question answering, speech synthesis, Unsupervised learning. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
35
+ {"question": " I already know about automated essay scoring, structured learning, evaluation of language modeling, vector semantics, document representation. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
36
+ {"question": " I already know about dependency parsing, lexicalized parsing, neural parsing. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
37
+ {"question": " I already know about robotics, propositional logic, agent-based view of ai. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
38
+ {"question": " I already know about machine translation, morphology and semantics in machine translation, syntax based machine translation, the ibm models. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
39
+ {"question": " I already know about bio text mining, language modeling, kernels. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
40
+ {"question": " I already know about multilingual word embedding, word sense disambiguation, word embedding variations. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
41
+ {"question": " I already know about a* search, uncertainty, robotic locomotion, heuristic search, agent-based view of ai. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
42
+ {"question": " I already know about multilingual word embedding, syntaxnet, word embedding, word embedding variations. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
43
+ {"question": " I already know about graph convolutional networks, neural language modeling, k means. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
44
+ {"question": " I already know about semi-supervised learning, recursive neural networks, neural networks, stack lstm, training neural networks. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
45
+ {"question": " I already know about robotics, expert systems, adversarial search. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
46
+ {"question": " I already know about graph convolutional networks, k means, neural parsing, training neural networks, agent-based view of ai. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
47
+ {"question": " I already know about syntaxnet, word embedding, neural machine translation, stack lstm. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
48
+ {"question": " I already know about semantic parsing, classic parsing methods, transition based dependency parsing. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
49
+ {"question": " I already know about search, uncertainty, informed search, expert systems, propositional logic. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
50
+ {"question": " I already know about automated essay scoring, neural language modeling, sentence representations, word embedding variations. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
51
+ {"question": " I already know about document ranking, social network extraction, search engines, query expansion, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
52
+ {"question": " I already know about nlp for biology, multilingual word embedding, neural language modeling, word segmentation, chomsky hierarchy. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
53
+ {"question": " I already know about sentiment analysis, neural summarization, text summarization, scientific article summarization, document representation. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
54
+ {"question": " I already know about graph convolutional networks, speech processing, syntaxnet, machine learning resources, topic modeling. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
55
+ {"question": " I already know about graph convolutional networks, sentiment analysis, neural language modeling, scientific article summarization, relation extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
56
+ {"question": " I already know about scientific article summarization, logistic regression, relation extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
57
+ {"question": " I already know about sentiment analysis, social media analysis, classification, sequence classification, conditional random fields. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
58
+ {"question": " I already know about automated essay scoring, hidden markov models, citation networks, semantic similarity, text to speech generation. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
59
+ {"question": " I already know about graph convolutional networks, recursive neural networks, convolutional neural networks, neural networks, Autoencoders. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
60
+ {"question": " I already know about scientific article summarization, sentence boundary recognition, word embedding variations. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
61
+ {"question": " I already know about neural summarization, text summarization, scientific article summarization. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
62
+ {"question": " I already know about sentiment analysis, social media analysis, sentence simplification, text summarization, citation networks. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
63
+ {"question": " I already know about neural question answering, recurrent neural networks, gated recurrent units. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
64
+ {"question": " I already know about evaluation of language modeling, neural language modeling, character level language models, text generation. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
65
+ {"question": " I already know about bayesian network, hidden markov models, bayes theorem, course introduction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
66
+ {"question": " I already know about neural turing machine, neural question answering, recurrent neural networks, gated recurrent units. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
67
+ {"question": " I already know about sentiment analysis, language identification, social media analysis, relation extraction, evaluation of text classification. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
68
+ {"question": " I already know about robotics, reinforcement learning, agent-based view of ai. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
69
+ {"question": " I already know about graph convolutional networks, neural question answering, neural parsing. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
70
+ {"question": " I already know about sentence simplification, word distributions, syntaxnet, relation extraction, tsne. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
71
+ {"question": " I already know about statistical machine translation, machine translation, morphology and semantics in machine translation, noisy channel model. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
72
+ {"question": " I already know about document ranking, search engines, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
73
+ {"question": " I already know about multilingual word embedding, word embedding, word sense disambiguation, Unsupervised learning. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
74
+ {"question": " I already know about neural question answering, robotics, syntaxnet, scientific article summarization, Autoencoders. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
75
+ {"question": " I already know about neural question answering, robotics, recursive neural networks, convolutional neural networks, stack lstm. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
76
+ {"question": " I already know about robotics, robotic locomotion, expert systems, propositional logic, agent-based view of ai. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
77
+ {"question": " I already know about social media analysis, search engines, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
78
+ {"question": " I already know about sentiment analysis, classification, convolutional neural networks, sequence classification and conditional random fields. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
79
+ {"question": " I already know about dimensionality reduction, latent semantic indexing, singular value decomposition, Manifold Learning, Principal Component Analysis. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
80
+ {"question": " I already know about matrix factorization, latent semantic indexing, Manifold Learning, Principal Component Analysis. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
81
+ {"question": " I already know about matrix factorization, latent semantic indexing, singular value decomposition, Manifold Learning. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
82
+ {"question": " I already know about neural turing machine, multilingual word embedding, deep learning introduction, neural machine translation, stack lstm. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
83
+ {"question": " I already know about nlp for biology, social network extraction, text similarity, recommendation system, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
84
+ {"question": " I already know about planning, problem solving and search, robotic locomotion, agent-based view of ai. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
85
+ {"question": " I already know about memory networks, neural question answering, long short term memory networks. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
86
+ {"question": " I already know about toolkits for information retrieval, document ranking, search engines, text mining, image retrieval. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
87
+ {"question": " I already know about pointer networks, graph convolutional networks, recursive neural networks, stack lstm, training neural networks. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
88
+ {"question": " I already know about neural summarization, seq2seq, scientific article summarization. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
89
+ {"question": " I already know about nlp for biology, bayesian network, word distributions, syntaxnet, bayes theorem. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
90
+ {"question": " I already know about latent dirichlet allocation, topic modeling, linear discriminant analysis. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
91
+ {"question": " I already know about document ranking, social network extraction, social media analysis, information retrieval, query expansion. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
92
+ {"question": " I already know about social network extraction, social media analysis, citation networks, information extraction. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
93
+ {"question": " I already know about matrix factorization, singular value decomposition, Manifold Learning, Principal Component Analysis. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
94
+ {"question": " I already know about neural turing machine, multilingual word embedding, neural machine translation, stack lstm. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
95
+ {"question": " I already know about neural question answering, weakly-supervised learning, KKT conditions, Unsupervised learning. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
96
+ {"question": " I already know about shallow parsing, event detection, syntaxnet, parsing. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
97
+ {"question": " I already know about multilingual word embedding, text summarization, neural machine translation, semantic similarity. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
98
+ {"question": " I already know about neural language modeling, spectral clustering, tsne, kernels. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
99
+ {"question": " I already know about statistical machine translation, machine translation, machine translation techniques, neural machine translation, the ibm models. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}
100
+ {"question": " I already know about neural turing machine, word embedding, deep learning introduction, neural machine translation, word sense disambiguation. In the domain of Natural Language Processing, what potential project can I work on? Give me a possible idea. Show me the title and project description."}