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| "abstract": [], |
| "body_text": [ |
| { |
| "text": "The 2017 Conference on Computational Natural Language Learning (CoNLL) is the 21st in the series of annual meetings organized by SIGNLL, the ACL special interest group on natural language learning. CoNLL 2017 will be held on August 3-4, 2017, and is co-located with the 55th annual meeting of the Association for Computational Linguistics (ACL) in Vancouver, Canada.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "As in most previous years, in order to accommodate papers with experimental material and detailed analysis/proofs, CoNLL 2017 invited only long papers, allowing eight pages of content plus unlimited pages of references and supplementary material in initial submission. Final, camera-ready submissions were allowed one additional page, so that all papers in the proceedings have a maximum of nine content pages plus unlimited pages of references and supplementary material.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "CoNLL 2017 received a record number of 280 submissions in total, out of which 2 had to be rejected for formal reasons, and 12 were withdrawn by the authors during the review period. Of the remaining 271 papers, 50 papers were chosen to appear in the conference program, with an overall acceptance rate of 18.7%, the lowest ever for the conference. Seven of these were withdrawn after the notification, resulting in 43 papers for the final program: 20 selected for oral presentation, and the remaining 23 for poster presentation plus lightning oral presentation. All 43 papers appear here in the conference proceedings.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "CoNLL 2017 features two invited talks, given by Chris Dyer (Google DeepMind) and Naomi Feldman (University of Maryland), and two shared tasks: one on Universal Morphological Reinflection and one on Multilingual Parsing from Raw Text to Universal Dependencies. Papers accepted for the shared tasks are published in companion volumes of the CoNLL 2017 proceedings.", |
| "cite_spans": [], |
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| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "We would like to thank all the authors who submitted their work to CoNLL 2017, and the program committee for helping us select the best papers out of many high-quality submissions. We are grateful to the many program committee members who answered positively to our late requests for reviewing assistance due to the unexpectedly large number of submissions. For this year's CoNLL, we allowed simultaneous submission to other conferences, and in order to ease the burden on the community of reviewers we implemented limited, partial cross-conference review sharing with EMNLP for papers submitted to both conferences. We are grateful to the EMNLP chairs, Rebecca Hwa and Sebastian Riedel, for working together with us, and to the EMNLP program committee members who participated in this process. We are also grateful to our invited speakers and to the SIGNLL board members. In particular, we are immensely thankful to Julia Hockenmaier for her valuable advice and assistance in putting together this year's program and proceedings. We also thank Ben Verhoeven, for maintaining the CoNLL 2017 website. We are grateful to the ACL organization for helping us with the program, proceedings and logistics. Finally, our gratitude goes to our sponsor, Google Inc., for supporting the best paper award at CoNLL 2017.", |
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| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "We hope you enjoy the conference!", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "CoNLL 2017 conference co-chairs ", |
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| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Roger Levy and Lucia Specia", |
| "sec_num": null |
| } |
| ], |
| "back_matter": [], |
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| "ref_id": "b0", |
| "title": "(continued) 5:25-5:27 An Automatic Approach for Document-level Topic Model Evaluation Shraey Bhatia", |
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| "first": "Peter", |
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| "first": "John", |
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| "last": "Kirov", |
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| "last": "Sylak-Glassman", |
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| "year": 2017, |
| "venue": "29 Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts Henry Y. Chen", |
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| "pages": "31--37", |
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| "raw_text": "Thursday, August 3, 2017 (continued) 10:25-10:27 Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Marco A. Valenzuela-Esc\u00e1rcega, Peter Clark and Michael Hammond 10:27-10:29 Learning What is Essential in Questions Daniel Khashabi, Tushar Khot, Ashish Sabharwal and Dan Roth 10:29-10:31 Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation Huadong Chen, Shujian Huang, David Chiang, Xin-Yu Dai and Jiajun Chen 10:31-11:00 Coffee Break Session ST1: CoNLL-SIGMORPHON Shared Task 11:00-12:30 Mans Hulden, Ryan Cotterell, Christo Kirov, and John Sylak-Glassman: Universal Morphological Reinflection in 52 Languages 12:30-2:00 Lunch Break Session ST2: CoNLL Shared Task 2:00-3:30 Dan Zeman, Jan Haji\u010d, et al.: Multilingual Parsing from Raw Text to Universal Dependencies 3:30-4:00 Coffee Break Thursday, August 3, 2017 (continued) 5:25-5:27 An Automatic Approach for Document-level Topic Model Evaluation Shraey Bhatia, Jey Han Lau and Timothy Baldwin 5:27-5:29 Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts Henry Y. Chen, Ethan Zhou and Jinho D. Choi 5:29-5:31 Cross-language Learning with Adversarial Neural Networks Shafiq Joty, Preslav Nakov, Llu\u00eds M\u00e0rquez and Israa Jaradat 5:31-6:31 Business Meeting", |
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| "BIBREF2": { |
| "ref_id": "b2", |
| "title": ":15 A Probabilistic Generative Grammar for Semantic Parsing Abulhair Saparov", |
| "authors": [], |
| "year": null, |
| "venue": "00 Knowledge Tracing in Sequential Learning of Inflected Vocabulary Adithya Renduchintala", |
| "volume": "8", |
| "issue": "", |
| "pages": "0--10", |
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| "raw_text": "Invited talk by Naomi Feldman 8:45-9:45 Rational Distortions of Learners' Linguistic Input Naomi Feldman Session 3 9:45-10:00 Knowledge Tracing in Sequential Learning of Inflected Vocabulary Adithya Renduchintala, Philipp Koehn and Jason Eisner 10:00-10:15 A Probabilistic Generative Grammar for Semantic Parsing Abulhair Saparov, Vijay Saraswat and Tom Mitchell", |
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| "BIBREF3": { |
| "ref_id": "b3", |
| "title": "Making Neural QA as Simple as Possible but not Simpler Dirk Weissenborn, Georg Wiese and Laura Seiffe 10:19-10:21 Neural Domain Adaptation for Biomedical Question Answering Georg Wiese", |
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| "year": 2017, |
| "venue": "Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information Massimo Nicosia and Alessandro Moschitti", |
| "volume": "10", |
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| "pages": "27--37", |
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| "raw_text": "Friday, August 4, 2017 (continued) Session 3L: Lightning Talks for Poster Session 10:15-10:17 Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information Massimo Nicosia and Alessandro Moschitti 10:17-10:19 Making Neural QA as Simple as Possible but not Simpler Dirk Weissenborn, Georg Wiese and Laura Seiffe 10:19-10:21 Neural Domain Adaptation for Biomedical Question Answering Georg Wiese, Dirk Weissenborn and Mariana Neves 10:21-10:23 A phoneme clustering algorithm based on the obligatory contour principle Mans Hulden 10:23-10:25 Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits Quanzhi Li and Sameena Shah 10:25-10:27 Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text Desh Raj, Sunil Sahu and Ashish Anand 10:27-10:29 Idea density for predicting Alzheimer's disease from transcribed speech Kairit Sirts, Olivier Piguet and Mark Johnson 10:29-11:00 Coffee Break 11:00-2:00 Poster Session and Lunch", |
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| "BIBREF4": { |
| "ref_id": "b4", |
| "title": "Zero-Shot Relation Extraction via Reading Comprehension Omer Levy, Minjoon Seo, Eunsol Choi and Luke Zettlemoyer 2:15-2:30 The Covert Helps Parse the Overt Xun Zhang, Weiwei Sun and Xiaojun Wan 2:30-2:45 German in Flux: Detecting Metaphoric Change via Word Entropy Dominik Schlechtweg, Stefanie Eckmann, Enrico Santus, Sabine Schulte im Walde and Daniel Hole 2:45-3:00 Encoding of phonology in a recurrent neural model of grounded speech Afra Alishahi", |
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| "year": 2017, |
| "venue": "15 Multilingual Semantic Parsing And Code-Switching Long Duong", |
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| "ref_id": "b5", |
| "title": "Optimizing Differentiable Relaxations of Coreference Evaluation Metrics Phong Le and Ivan Titov 3:30-4:00 Coffee Break", |
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