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"text": "Welcome to SemEval-2016 The Semantic Evaluation (SemEval) series of workshops focuses on the evaluation and comparison of systems that can analyse diverse semantic phenomena in text with the aim of extending the current state of the art in semantic analysis and creating high quality annotated datasets in a range of increasingly challenging problems in natural language semantics. SemEval provides an exciting forum for researchers to propose challenging research problems in semantics and to build systems/techniques to address such research problems.", |
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"text": "SemEval-2016 is the tenth workshop in the series of International Workshops on Semantic Evaluation Exercises. The first three workshops, SensEval-1 (1998), SensEval-2 (2001), and SensEval-3 (2004) , focused on word sense disambiguation, each time growing in the number of languages offered, in the number of tasks, and also in the number of participating teams. In 2007, the workshop was renamed to SemEval, and the subsequent SemEval workshops evolved to include semantic analysis tasks beyond word sense disambiguation. In 2012, SemEval turned into a yearly event. It currently runs every year, but on a two-year cycle, i.e., the tasks for SemEval-2016 were proposed in 2015. This volume contains both Task Description papers that describe each of the above tasks and System Description papers that describe the systems that participated in the above tasks. A total of 14 task description papers and 198 system description papers are included in this volume.", |
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"text": "We are grateful to all task organisers as well as the large number of participants whose enthusiastic participation has made SemEval once again a successful event. We are thankful to the task organisers who also served as area chairs, and to task organisers and participants who reviewed paper submissions. These proceedings have greatly benefited from their detailed and thoughtful feedback. We also thank the NAACL 2016 conference organizers for their support. Finally, we most gratefully acknowledge the support of our sponsor, the ACL Special Interest Group on the Lexicon (SIGLEX).", |
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"text": "The SemEval-2016 organizers, Steven Bethard, Daniel Cer, Marine Carpuat, David Jurgens, Preslav Nakov and Torsten Zesch ", |
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"title": "Extending Gloss Overlaps to Enrich Semantic Taxonomies Ted Pedersen", |
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"raw_text": "Duluth at SemEval 2016 Task 14: Extending Gloss Overlaps to Enrich Semantic Taxonomies Ted Pedersen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1328", |
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"title": "Semantic Taxonomy Enrichment Via Sense-Based Embeddings Luis Espinosa Anke, Francesco Ronzano and Horacio Saggion", |
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"title": "Taxonomy Enrichment by Evidence Ranking Michael Schlichtkrull and", |
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"raw_text": "MSejrKu at SemEval-2016 Task 14: Taxonomy Enrichment by Evidence Ranking Michael Schlichtkrull and H\u00e9ctor Mart\u00ednez Alonso . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1337", |
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"title": "Taxonomy enrichment using definition vectors Hristo Tanev and", |
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"title": "UMNDuluth at SemEval-2016 Task 14: WordNet's Missing Lemmas Jon Rusert and", |
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"raw_text": "UMNDuluth at SemEval-2016 Task 14: WordNet's Missing Lemmas Jon Rusert and Ted Pedersen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1346", |
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"title": "Evaluating definitional-based similarity measure for semantic taxonomy enrichment Bridget McInnes", |
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"authors": [], |
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"year": 2016, |
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"venue": "", |
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"volume": "12", |
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"pages": "45--57", |
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"raw_text": "VCU at Semeval-2016 Task 14: Evaluating definitional-based similarity measure for semantic taxon- omy enrichment Bridget McInnes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1351 09:00-10:30 Perspectives 09:00-09:30 SemEval-2017 Preview SemEval organizers 09:30-10:30 Invited Talk 10:30-11:00 Coffee Break 11:00-12:30 Semantic Analysis, Semantic Parsing and Semantic Taxonomy 11:00-11:15 SemEval-2016 Task 12: Clinical TempEval Steven Bethard, Guergana Savova, Wei-Te Chen, Leon Derczynski, James Puste- jovsky and Marc Verhagen 11:15-11:30 SemEval-2016 Task 8: Meaning Representation Parsing Jonathan May 11:30-11:45 SemEval-2016 Task 9: Chinese Semantic Dependency Parsing Wanxiang Che, Yanqiu Shao, Ting Liu and Yu Ding 11:45-12:00 SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)", |
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"title": "Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement Hua He, John Wieting, Kevin Gimpel, Jinfeng Rao and Jimmy Lin 02:15-02:30 Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming Mishal Kazmi and Peter Sch\u00fcller 02:30-02:45 KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers Simone Filice, Danilo Croce, Alessandro Moschitti and Roberto", |
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"authors": [ |
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"first": "Georgeta", |
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"last": "Bordea", |
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"first": "Els", |
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"year": null, |
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"venue": "SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision Jan Deriu", |
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"raw_text": "Georgeta Bordea, Els Lefever and Paul Buitelaar 12:00-12:15 SemEval-2016 Task 14: Semantic Taxonomy Enrichment David Jurgens and Mohammad Taher Pilehvar 12:30-02:00 Lunch xli 02:00-03:30 Best Of SemEval 02:00-02:15 UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Con- volutional Neural Networks for Textual Similarity Measurement Hua He, John Wieting, Kevin Gimpel, Jinfeng Rao and Jimmy Lin 02:15-02:30 Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Align- ment based on Answer Set Programming Mishal Kazmi and Peter Sch\u00fcller 02:30-02:45 KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers Simone Filice, Danilo Croce, Alessandro Moschitti and Roberto Basili 02:45-03:00 SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision Jan Deriu, Maurice Gonzenbach, Fatih Uzdilli, Aurelien Lucchi, Valeria De Luca and Martin Jaggi 03:00-03:15 IIT-TUDA at SemEval-2016 Task 5: Beyond Sentiment Lexicon: Combining Do- main Dependency and Distributional Semantics Features for Aspect Based Senti- ment Analysis Ayush Kumar, Sarah Kohail, Amit Kumar, Asif Ekbal and Chris Biemann 03:15-03:30 LIMSI-COT at SemEval-2016 Task 12: Temporal relation identification using a pipeline of classifiers Julien Tourille, Olivier Ferret, Aur\u00e9lie N\u00e9v\u00e9ol and Xavier Tannier 03:30-04:00 Coffee Break xlii", |
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"text": "SemEval-2016 was co-located with the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT'2016) in San Diego, California. It included the following 14 shared tasks organized in five tracks:\u2022 Text Similarity and Question Answering Track-Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation -Task 2: Interpretable Semantic Textual Similarity -Task 3: Community Question Answering \u2022 Sentiment Analysis Track -Task 4: Sentiment Analysis in Twitter -Task 5: Aspect-Based Sentiment Analysis -Task 6: Detecting Stance in Tweets -Task 7: Determining Sentiment Intensity of English and Arabic Phrases \u2022 Semantic Parsing Track -Task 8: Meaning Representation Parsing -Task 9: Chinese Semantic Dependency Parsing \u2022 Semantic Analysis Track -Task 10: Detecting Minimal Semantic Units and their Meanings -Task 11: Complex Word Identification -Task 12: Clinical TempEval \u2022 Semantic Taxonomy Track -Task 13: TExEval-2 -Taxonomy Extraction -Task 14: Semantic Taxonomy Enrichment", |
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"content": "<table><tr><td>SemEval-2016 Task 5: Aspect Based Sentiment Analysis Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphee De Clercq, Veronique 16 Jun 2016 09:00-09:15 Welcome Opening Remarks 16 Jun 2016 (continued) 11:00-12:30 Poster Session: Sentiment Analysis CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classifi-cation Mahmoud Nabil, Amir Atyia and Mohamed Aly Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeniy Kotelnikov, N\u00faria Bel, Workshop Program SemEval organizers QCRI at SemEval-2016 Task 4: Probabilistic Methods for Binary and Ordinal</td></tr><tr><td>Quantification</td></tr><tr><td>09:15-10:30 Sentiment Analysis Giovanni Da San Martino, Wei Gao and Fabrizio Sebastiani</td></tr><tr><td>SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment 09:15-09:30 SemEval-2016 Task 4: Sentiment Analysis in Twitter Classification Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani and Veselin Stoy-anov Stefan R\u00e4biger, Mishal Kazmi, Y\u00fccel Sayg\u0131n, Peter Sch\u00fcller and Myra Spiliopoulou</td></tr><tr><td>09:30-09:45 SemEval-2016 Task 5: Aspect Based Sentiment Analysis</td></tr><tr><td>Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh</td></tr><tr><td>Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing</td></tr><tr><td>Qin, Orphee De Clercq, Veronique Hoste, Marianna Apidianaki, Xavier Tannier,</td></tr><tr><td>Natalia Loukachevitch, Evgeniy Kotelnikov, N\u00faria Bel, Salud Mar\u00eda Jim\u00e9nez-Zafra</td></tr><tr><td>and G\u00fcl\u015fen Eryigit</td></tr><tr><td>09:45-10:00 SemEval-2016 Task 6: Detecting Stance in Tweets</td></tr><tr><td>Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu and Colin</td></tr><tr><td>Cherry</td></tr><tr><td>10:00-10:15 SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic</td></tr><tr><td>Phrases</td></tr><tr><td>Svetlana Kiritchenko, Saif Mohammad and Mohammad Salameh</td></tr><tr><td>10:15-10:30 Sentiment Analysis Discussion</td></tr><tr><td>Task Organizers</td></tr><tr><td>10:30-11:00 Coffee Break</td></tr><tr><td>xxiii</td></tr></table>", |
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"text": "SemEval-2016 Task 4: Sentiment Analysis in TwitterPreslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani and Veselin Stoyanov . . . . . . . . . 1" |
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