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| "paper_id": "2020", | |
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| "text": "Ahmed Hassan Awadallah, Yu Su, Huan Sun, Wen-tau Yih Natural language interfaces (NLIs) have been the \"holy grail\" of human-computer interaction and information search for decades. However, early attempts in building NLIs to databases did not achieve the expected success due to limitations in language understanding capability, extensibility and explainability, among others. The last 5 years have seen a major resurgence of NLIs in the form of virtual assistants, dialogue systems, and semantic parsing and question answering systems. The horizon of NLIs has also been significantly expanding beyond databases to, e.g., knowledge bases, robots, Internet of Things, Web service APIs, and more. This has been driven by a number of profound revolutions: (1) In the big data era, and as digitalization continues to grow, there is a rapidly growing demand for interfaces that connect users to the everexpanding data sources, services and devices in the computing world. NLIs represent a very promising technology to accomplish that as they provide users with a unified way to interact with the entire computing world using language, their natural way of communication, and (2) the renaissance and development of deep learning have brought us from rule and feature engineering to a world of neural architecture and data engineering, promising better language understanding, adaptability and scalability. As a result, many commercial systems like Amazon Alexa, Apple Siri, and Microsoft Cortana, as well as academic studies on NLIs to a wide range of backends have emerged in recent years.", | |
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| "section": "Introduction", | |
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| "text": "Many research communities have been advancing NLI technologies in recent years: NLP and machine learning, data management and databases, programming language, human-machine interaction, among others. This workshop aims to bring together researchers and practitioners from related communities to review the recent advances and revisit the challenges that led to the failure of earlier NLI systems, and discuss what the remaining challenges are and what to expect in the short-and long-term future.", | |
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| "section": "Introduction", | |
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| "text": "This workshop is featured by a strong, diverse lineup of invited speakers: Monica Lam's research on virtual assistants stems from a programming language perspective and emphasizes openness and privacy, Percy Liang is a leading researcher on natural language interaction and machine learning, and is also leading Microsoft's development of next-generation conversation systems, H V Jagadish is a pioneer on database usability and NLIs to databases, Joyce Chai has made fundamental contributions to human-robot interaction, Luke Zettlemoyer is a world-renowned expert in semantic parsing, question answering, and natural language processing in general, and Imed Zitouni is an industrial leader on conversational AI with decades of experience at IBM, Microsoft, and Google. The program is also featured by many innovative and forward-looking papers that explore different aspects of NLIs, ranging from compositionality to personalization to data to generation to deployment and interactive learning. We warmly welcome everyone to the workshop, and hope you will enjoy the rich program that covers the past, the present, and the future of NLIs from different research communities. ", | |
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| "section": "Introduction", | |
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| "title": "Answering Complex Questions by Combining Information from Curated and Extracted Knowledge Bases Nikita Bhutani, Xinyi Zheng, Kun Qian", | |
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| "raw_text": "Friday, July 10, 2020 08:15-08:30 Opening remarks 08:30-09:30 Invited Talk: Joyce Chai 09:30-10:30 Invited Talk: Percy Liang 10:30-10:45 Break 10:45-11:00 Answering Complex Questions by Combining Information from Curated and Ex- tracted Knowledge Bases Nikita Bhutani, Xinyi Zheng, Kun Qian, Yunyao Li and H. Jagadish 11:00-11:15 Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data (Cross-submission)", | |
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| "raw_text": "Alana Marzoev, Samuel Madden, M. Frans Kaashoek, Michael Cafarella and Jacob Andreas 11:15-11:30 Towards Reversal-Based Textual Data Augmentation for NLI Problems with Oppos- able Classes Alexey Tarasov 11:30-12:30 Invited Talk: H V Jagadish 12:30-13:30 Break 13:30-14:30 Invited Talk: Imed Zitouni 14:30-14:45 Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation Liqun Shao, Sahitya Mantravadi, Tom Manzini, Alejandro Buendia, Manon Kno- ertzer, Soundar Srinivasan and Chris Quirk 14:45-15:00 A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Lan- guage and Demonstrations (Cross-submussion)", | |
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| "ref_id": "b2", | |
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| "raw_text": "Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom Mitchell and Brad Myers 15:00-15:15 Efficient Deployment of Conversational Natural Language Interfaces over Databases Anthony Colas, Trung Bui, Franck Dernoncourt, Moumita Sinha and Doo Soon Kim x", | |
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| "ref_id": "b3", | |
| "title": "Neural Multi-task Text Normalization and Sanitization with Pointer-Generator Hoang Nguyen and Sandro Cavallari", | |
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| "raw_text": "Friday, July 10, 2020 (continued) 15:15-15:30 Neural Multi-task Text Normalization and Sanitization with Pointer-Generator Hoang Nguyen and Sandro Cavallari 15:30-15:45 Break 15:45-16:45 Invited Talk: Monica Lam 16:45-17:45 Invited Talk: Luke Zettlemoyer 17:45-17:50 Closing remarks xi", | |
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| "text": "Ahmed Hassan Awadallah, Microsoft Research Yu Su, The Ohio State University Huan Sun, The Ohio State University Wen-tau Yih, Facebook AI Research (FAIR)", | |
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