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| { |
| "text": "Welcome to the 2013 Conference on Empirical Methods in Natural Language Processing.", |
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| "section": "Preface", |
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| "text": "EMNLP has grown to be one of the largest and most competitive conferences in computational linguistics. Organized by ACL SIGDAT (the Association for Computational Linguistics special interest group for linguistic data and corpus-based approaches to natural language processing), it features papers on all areas of interest to the SIGDAT community and aligned fields. It is being held this year as a standalone conference at the Grand Hyatt Seattle, in the heart of downtown Seattle, USA over the period October 18-21, 2013. This year we introduced short papers to EMNLP for the first time, in an attempt to encourage submission of papers reporting smaller, more focused contributions and work in progress. We also put a lot of time and energy into \"closing the loop\" in the author response phase, in getting reviewers to explicitly acknowledge author responses and update their reviews where appropriate. We sincerely hope that this contributed towards further improvement in the quality of reviews and the decision-making process.", |
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| "start": 503, |
| "end": 523, |
| "text": "October 18-21, 2013.", |
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| "text": "We received a record number of 772 valid submissions (not including co-submitted papers that were withdrawn from the conference), made up of 539 long papers and 233 short papers. These papers were reviewed across a total of 15 areas, of which Machine Translation (98 submissions), Semantics (87 submissions) and NLP-related Machine Learning (76) were the largest. The submissions were managed by 30 area chairs (two per area) and evaluated by a combined programme committee of 505 reviewers.", |
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| "text": "28% of the long paper submissions and 24% of the short paper submissions were accepted for publication at the conference. Five long papers were shortlisted for the best paper award, based on input from the reviewers and area chairs, and have been scheduled for presentation in a plenary session at the end of the conference, culminating in the presentation of the best paper award.", |
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| "text": "We would like to acknowledge all the hard work of the submitting authors, without whom there would, of course, be no conference. To the authors of accepted papers, we offer congratulations; to the authors of rejected papers, we offer our sincere commiserations, and dearly hope that the hard work of the programme committee provided you with valuable feedback on your research. We are eternally indebted to our dedicated and hard-working area chairs, and to the reviewers for their attention to detail and engagement with the author response/discussion phase, which was tremendously helpful in gauging the relative merits of each paper and being able to send out the notifications on time.", |
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| "text": "We are very grateful to our two invited speakers: Fernando Pereira (Research Director at Google) who will draw on his considerable experience and wisdom in presenting \"Meaning in the Wild\", focusing on machine understanding; and Andrew Ng (Co-CEO and Co-founder of Coursera) who will discuss the challenges and opportunities associated with the delivery of Massively Open Online Courses (MOOCs) in a talk titled \"The Online Revolution: Education for Everyone\", from the perspective of a true world leader in MOOC provision and Machine Learning/NLP research.", |
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| "text": "We would also like to thank the inimitable Priscilla Rasmussen who single-handedly looked after the local organisation of EMNLP 2013. We also wish to acknowledge the considerable efforts of Steven Berthard who put this volume together with peerless efficiency, Francesco Figari who took excellent care of the conference website, and Rich Gerber from Softconf.com, who responded to any questions regarding START -the submission management system used for EMNLP 2013 -instantaneously and uncomplainingly, and helped us manage the large number of submissions smoothly. Additionally, we would like to thank Eugene Charniak, Mark Johnson and Noah Smith for serving on the best paper award committee, and providing characteristically probing and insightful critiques of the best paper award nominees.", |
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| "text": "Special thanks go to David Yarowsky, the general chair for the conference, who has provided us with much valuable advice, encouragement and assistance over the past six months. We would also like to thank the members of the SIGDAT board who advised us on various matters, and our predecessors James Henderson and Marius Pasca for nudging us in the right direction on a number of occasions.", |
| "cite_spans": [], |
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| "section": "Preface", |
| "sec_num": null |
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| "text": "On behalf of all attendees at the conference, we would also like to acknowledge the generosity of our sponsors/supports: Amazon, Google, the Allen Institute for Artificial Intelligence, Inome, IBM Research, Microsoft Research, Nuance and John Hopkins University.", |
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| "text": "It has been an honour to serve as Programme Chairs of EMNLP 2013. We sincerely hope that youin equal measure -enjoy and are intellectually-stimulated by the conference, and have a pleasant stay in beautiful Seattle.", |
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| { |
| "text": "Timothy Baldwin and Anna Korhonen EMNLP 2013 Programme Chairs Organizers General Chair:", |
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| "section": "Preface", |
| "sec_num": null |
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| "back_matter": [ |
| { |
| "text": " Saturday, October 19, 2013 (continued) ", |
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| "start": 1, |
| "end": 39, |
| "text": "Saturday, October 19, 2013 (continued)", |
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| "section": "annex", |
| "sec_num": null |
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| ], |
| "bib_entries": { |
| "BIBREF0": { |
| "ref_id": "b0", |
| "title": ":15 Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering Min Xiao", |
| "authors": [ |
| { |
| "first": "Masashi", |
| "middle": [], |
| "last": "Saturday ; Kevin Duh", |
| "suffix": "" |
| }, |
| { |
| "first": "Yuji", |
| "middle": [], |
| "last": "Shimbo", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Matsumoto", |
| "suffix": "" |
| } |
| ], |
| "year": 2013, |
| "venue": "35 Noise-Aware Character Alignment for Bootstrapping Statistical Machine Transliteration from Bilingual Corpora Katsuhito Sudoh", |
| "volume": "11", |
| "issue": "", |
| "pages": "15--27", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Saturday, October 19, 2013 (continued) (11:00-12:35) Semantics I 11:00-11:25 Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks Masashi Tsubaki, Kevin Duh, Masashi Shimbo and Yuji Matsumoto 11:25-11:50 Studying the Recursive Behaviour of Adjectival Modification with Compositional Distri- butional Semantics Eva Maria Vecchi, Roberto Zamparelli and Marco Baroni 11:50-12:15 Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering Min Xiao, Feipeng Zhao and Yuhong Guo 12:15-12:35 Appropriately Incorporating Statistical Significance in PMI Om P. Damani and Shweta Ghonge (11:00-12:35) Language Resources 11:00-11:25 Growing Multi-Domain Glossaries from a Few Seeds using Probabilistic Topic Models Stefano Faralli and Roberto Navigli 11:25-11:50 Joint Learning of Phonetic Units and Word Pronunciations for ASR Chia-ying Lee, Yu Zhang and James Glass 11:50-12:15 MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text Matthew Richardson, Christopher J.C. Burges and Erin Renshaw 12:15-12:35 Noise-Aware Character Alignment for Bootstrapping Statistical Machine Transliteration from Bilingual Corpora Katsuhito Sudoh, Shinsuke Mori and Masaaki Nagata (12:35-2:00) Lunch (2:00-3:15) First invited talk: Andrew Ng (3:15-3:45) Break xxiii", |
| "links": null |
| }, |
| "BIBREF1": { |
| "ref_id": "b1", |
| "title": ":00 Structured Penalties for Log-Linear Language Models Anil Kumar Nelakanti", |
| "authors": [ |
| { |
| "first": "", |
| "middle": [], |
| "last": "Saturday", |
| "suffix": "" |
| } |
| ], |
| "year": 2013, |
| "venue": "25 Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data Varada Kolhatkar, Heike Zinsmeister and Graeme Hirst", |
| "volume": "4", |
| "issue": "", |
| "pages": "0--5", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Saturday, October 19, 2013 (continued) (3:45-5:50) Machine Translation I 3:45-4:10 Optimal Beam Search for Machine Translation Alexander Rush, Yin-Wen Chang and Michael Collins 4:10-4:35 An Efficient Language Model Using Double-Array Structures Makoto Yasuhara, Toru Tanaka, Jun-ya Norimatsu and Mikio Yamamoto 4:35-5:00 Structured Penalties for Log-Linear Language Models Anil Kumar Nelakanti, Cedric Archambeau, Julien Mairal, Francis Bach and Guillaume Bouchard 5:00-5:25 Interactive Machine Translation using Hierarchical Translation Models Jes\u00fas Gonz\u00e1lez-Rubio, Daniel Ort\u00edz-Martinez, Jos\u00e9-Miguel Bened\u00ed and Francisco Casacu- berta 5:25-5:50 Max-Margin Synchronous Grammar Induction for Machine Translation Xinyan Xiao and Deyi Xiong (3:45-5:50) Dialogue and Discourse 3:45-4:10 Error-Driven Analysis of Challenges in Coreference Resolution Jonathan K. Kummerfeld and Dan Klein 4:10-4:35 Exploiting Zero Pronouns to Improve Chinese Coreference Resolution Fang Kong and Hwee Tou Ng 4:35-5:00 Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld and Luke Zettlemoyer 5:00-5:25 Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data Varada Kolhatkar, Heike Zinsmeister and Graeme Hirst", |
| "links": null |
| }, |
| "BIBREF2": { |
| "ref_id": "b2", |
| "title": ":35) Machine Translation II 2:00-2:25 Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation Deyi Xiong, Yang Ding", |
| "authors": [ |
| { |
| "first": "Masaaki", |
| "middle": [], |
| "last": "Sunday ; Yasuhisa Yoshida", |
| "suffix": "" |
| }, |
| { |
| "first": "Norihito", |
| "middle": [], |
| "last": "Nishino", |
| "suffix": "" |
| }, |
| { |
| "first": "Masaaki", |
| "middle": [], |
| "last": "Yasuda", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Nagata", |
| "suffix": "" |
| } |
| ], |
| "year": 2013, |
| "venue": "35 Classifying Message Board Posts with an Extracted Lexicon of Patient Attributes Ruihong Huang and Ellen Riloff", |
| "volume": "12", |
| "issue": "", |
| "pages": "0--3", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Sunday, October 20, 2013 (continued) 12:15-12:35 Single-Document Summarization as a Tree Knapsack Problem Tsutomu Hirao, Yasuhisa Yoshida, Masaaki Nishino, Norihito Yasuda and Masaaki Nagata (11:00-12:35) Information Extraction and Social Media Analysis 11:00-11:25 A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King and Michael R. Lyu 11:25-11:50 Semantic Parsing on Freebase from Question-Answer Pairs Jonathan Berant, Andrew Chou, Roy Frostig and Percy Liang 11:50-12:15 Scaling Semantic Parsers with On-the-Fly Ontology Matching Tom Kwiatkowski, Eunsol Choi, Yoav Artzi and Luke Zettlemoyer 12:15-12:35 Classifying Message Board Posts with an Extracted Lexicon of Patient Attributes Ruihong Huang and Ellen Riloff (12:35-2:00) Lunch (2:00-3:35) Machine Translation II 2:00-2:25 Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Transla- tion Deyi Xiong, Yang Ding, Min Zhang and Chew Lim Tan 2:50-3:15 A Convex Alternative to IBM Model 2", |
| "links": null |
| }, |
| "BIBREF3": { |
| "ref_id": "b3", |
| "title": ":35 Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries Russell Beckley and", |
| "authors": [ |
| { |
| "first": "Andrei", |
| "middle": [], |
| "last": "Simion", |
| "suffix": "" |
| }, |
| { |
| "first": "Michael", |
| "middle": [], |
| "last": "Collins", |
| "suffix": "" |
| }, |
| { |
| "first": "Cliff", |
| "middle": [], |
| "last": "Stein", |
| "suffix": "" |
| } |
| ], |
| "year": null, |
| "venue": "", |
| "volume": "3", |
| "issue": "", |
| "pages": "15--18", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Andrei Simion, Michael Collins and Cliff Stein 3:15-3:35 Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pro- nunciation Dictionaries Russell Beckley and Brian Roark", |
| "links": null |
| }, |
| "BIBREF4": { |
| "ref_id": "b4", |
| "title": ":35) Semantics II 2:00-2:25 Prior Disambiguation of Word Tensors for Constructing Sentence Vectors Dimitri", |
| "authors": [ |
| { |
| "first": "", |
| "middle": [], |
| "last": "Sunday", |
| "suffix": "" |
| } |
| ], |
| "year": 2013, |
| "venue": ":15 A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data", |
| "volume": "2", |
| "issue": "", |
| "pages": "50--53", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Sunday, October 20, 2013 (continued) (2:00-3:35) Semantics II 2:00-2:25 Prior Disambiguation of Word Tensors for Constructing Sentence Vectors Dimitri Kartsaklis and Mehrnoosh Sadrzadeh 2:25-2:50 Multi-Relational Latent Semantic Analysis Kai-Wei Chang, Wen-tau Yih and Christopher Meek 2:50-3:15 A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else)", |
| "links": null |
| }, |
| "BIBREF5": { |
| "ref_id": "b5", |
| "title": ":35) Opinion Mining and Sentiment Analysis I 2:00-2:25 Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher", |
| "authors": [ |
| { |
| "first": "Ivan", |
| "middle": [], |
| "last": "Vuli\u0107", |
| "suffix": "" |
| }, |
| { |
| "first": "Marie-Francine ; Arjun", |
| "middle": [], |
| "last": "Mukherjee", |
| "suffix": "" |
| }, |
| { |
| "first": "Bing", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "" |
| }, |
| { |
| "first": "Meichun", |
| "middle": [], |
| "last": "Hsu", |
| "suffix": "" |
| } |
| ], |
| "year": null, |
| "venue": "Deriving Adjectival Scales from Continuous Space Word Representations", |
| "volume": "2", |
| "issue": "", |
| "pages": "35--39", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Ivan Vuli\u0107 and Marie-Francine Moens 3:15-3:35 Deriving Adjectival Scales from Continuous Space Word Representations Joo-Kyung Kim and Marie-Catherine de Marneffe (2:00-3:35) Opinion Mining and Sentiment Analysis I 2:00-2:25 Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, An- drew Ng and Christopher Potts 2:25-2:50 Open Domain Targeted Sentiment Margaret Mitchell, Jacqui Aguilar, Theresa Wilson and Benjamin Van Durme 2:50-3:15 Exploiting Domain Knowledge in Aspect Extraction Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malu Castellanos and Riddhi- man Ghosh (3:35-4:05) Break", |
| "links": null |
| }, |
| "BIBREF6": { |
| "ref_id": "b6", |
| "title": "Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings Artem Sokokov, Laura Jehl", |
| "authors": [ |
| { |
| "first": "", |
| "middle": [], |
| "last": "Sunday", |
| "suffix": "" |
| } |
| ], |
| "year": 1920, |
| "venue": ":55) Information Extraction II 4:05-4:30 Learning Biological Processes with Global Constraints Aju Thalappillil Scaria", |
| "volume": "4", |
| "issue": "", |
| "pages": "20--25", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Sunday, October 20, 2013 (continued) (4:05-5:55) Machine Translation III 4:05-4:30 Dependency-Based Decipherment for Resource-Limited Machine Translation Qing Dou and Kevin Knight 4:30-4:55 Translating into Morphologically Rich Languages with Synthetic Phrases Victor Chahuneau, Eva Schlinger, Noah A. Smith and Chris Dyer 4:55-5:20 Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Rel- evance Rankings Artem Sokokov, Laura Jehl, Felix Hieber and Stefan Riezler 5:20-5:55 Recurrent Continuous Translation Models Nal Kalchbrenner and Phil Blunsom (4:05-5:55) Information Extraction II 4:05-4:30 Learning Biological Processes with Global Constraints Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Peter Clark, Justin Lewis, Brit- tany Harding and Christopher D. Manning 4:30-4:55 Generating Coherent Event Schemas at Scale Niranjan Balasubramanian, Stephen Soderland, Mausam and Oren Etzioni 5:20-5:55 Orthonormal Explicit Topic Analysis for Cross-Lingual Document Matching John Philip McCrae, Philipp Cimiano and Roman Klinger (4:05-5:55) NLP Applications II 4:05-4:30 Automated Essay Scoring by Maximizing Human-Machine Agreement Hongbo Chen and Ben He 4:55-5:20 Success with Style: Using Writing Style to Predict the Success of Novels Vikas Ganjigunte Ashok, Song Feng and Yejin Choi 5:20-5:55 A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient- Doctor Communication", |
| "links": null |
| }, |
| "BIBREF7": { |
| "ref_id": "b7", |
| "title": ":15) Plenary session I 1:45-2:15 Regularized Minimum Error Rate Training Michel Galley, Chris Quirk, Colin Cherry and Kristina Toutanova 2:15-2:45 Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts", |
| "authors": [ |
| { |
| "first": "Byron", |
| "middle": [ |
| "C" |
| ], |
| "last": "Wallace", |
| "suffix": "" |
| }, |
| { |
| "first": "M", |
| "middle": [ |
| "Barton" |
| ], |
| "last": "Thomas A Trikalinos", |
| "suffix": "" |
| }, |
| { |
| "first": "Ira", |
| "middle": [ |
| "B" |
| ], |
| "last": "Laws", |
| "suffix": "" |
| }, |
| { |
| "first": "Eugene Charniak Monday ; Minghui", |
| "middle": [], |
| "last": "Wilson", |
| "suffix": "" |
| }, |
| { |
| "first": "Yanchuan", |
| "middle": [], |
| "last": "Qiu", |
| "suffix": "" |
| }, |
| { |
| "first": "Jing", |
| "middle": [], |
| "last": "Sim", |
| "suffix": "" |
| }, |
| { |
| "first": "Noah", |
| "middle": [ |
| "A" |
| ], |
| "last": "Jiang", |
| "suffix": "" |
| }, |
| { |
| "first": "J", |
| "middle": [], |
| "last": "Andrew", |
| "suffix": "" |
| }, |
| { |
| "first": "Elia", |
| "middle": [], |
| "last": "Anderson", |
| "suffix": "" |
| }, |
| { |
| "first": "Ulisse", |
| "middle": [], |
| "last": "Bruni", |
| "suffix": "" |
| }, |
| { |
| "first": "Massimo", |
| "middle": [], |
| "last": "Bordignon", |
| "suffix": "" |
| }, |
| { |
| "first": "Marco", |
| "middle": [], |
| "last": "Poesio", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Baroni", |
| "suffix": "" |
| } |
| ], |
| "year": 2013, |
| "venue": "45 Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing Angeliki", |
| "volume": "9", |
| "issue": "", |
| "pages": "45--48", |
| "other_ids": {}, |
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| "raw_text": "Byron C. Wallace, Thomas A Trikalinos, M. Barton Laws, Ira B. Wilson and Eugene Charniak Monday, October 21, 2013 (8:00-9:00) Breakfast (9:00-10:35) Information Extraction III 9:00-9:25 Harvesting Parallel News Streams to Generate Paraphrases of Event Relations Congle Zhang and Daniel S. Weld 9:25-9:50 Relational Inference for Wikification Xiao Cheng and Dan Roth 9:50-10:15 Event Schema Induction with a Probabilistic Entity-Driven Model Nathanael Chambers 10:15-10:35 Using Soft Constraints in Joint Inference for Clinical Concept Recognition Prateek Jindal and Dan Roth (9:00-10:35) Opinion Mining and Sentiment Analysis II 9:00-9:25 Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media Svitlana Volkova, Theresa Wilson and David Yarowsky 9:25-9:50 Opinion Mining in Newspaper Articles by Entropy-Based Word Connections Thomas Scholz and Stefan Conrad 9:50-10:15 Collective Opinion Target Extraction in Chinese Microblogs Xinjie Zhou, Xiaojun Wan and Jianguo Xiao 10:15-10:35 Detecting Promotional Content in Wikipedia Shruti Bhosale, Heath Vinicombe and Raymond Mooney Monday, October 21, 2013 (continued) (9:00-10:35) NLP for Social Media II 9:00-9:25 Learning Topics and Positions from Debatepedia Swapna Gottipati, Minghui Qiu, Yanchuan Sim, Jing Jiang and Noah A. Smith 9:25-9:50 A Unified Model for Topics, Events and Users on Twitter Qiming Diao and Jing Jiang 9:50-10:15 Authorship Attribution of Micro-Messages Roy Schwartz, Oren Tsur, Ari Rappoport and Moshe Koppel 10:15-10:35 Detection of Product Comparisons -How Far Does an Out-of-the-Box Semantic Role La- beling System Take You? Wiltrud Kessler and Jonas Kuhn (10:35-11:00) Break (11:00-11:45) Parsing 11:00-11:25 A Multi-Teraflop Constituency Parser using GPUs John Canny, David Hall and Dan Klein 11:25-11:45 Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing Angeliki Lazaridou, Eva Maria Vecchi and Marco Baroni (11:00-11:45) Semantics III 11:00-11:25 Learning Distributions over Logical Forms for Referring Expression Generation Nicholas FitzGerald, Yoav Artzi and Luke Zettlemoyer 11:25-11:45 Learning to Rank Lexical Substitutions Gy\u00f6rgy Szarvas, R\u00f3bert Busa-Fekete and Eyke H\u00fcllermeier Monday, October 21, 2013 (continued) (11:00-11:45) NLP Applications III 11:00-11:25 Identifying Manipulated Offerings on Review Portals Jiwei Li, Myle Ott and Claire Cardie 11:25-11:45 Well-Argued Recommendation: Adaptive Models Based on Words in Recommender Sys- tems Julien Gaillard, Marc El-Beze, Eitan Altman and Emmanuel Ethis (11:45-12:15) SIGDAT business meeting (12:15-1:45) Lunch (1:45-3:15) Plenary session I 1:45-2:15 Regularized Minimum Error Rate Training Michel Galley, Chris Quirk, Colin Cherry and Kristina Toutanova 2:15-2:45 Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts Andrew J. Anderson, Elia Bruni, Ulisse Bordignon, Massimo Poesio and Marco Baroni 2:45-3:15 Easy Victories and Uphill Battles in Coreference Resolution Greg Durrett and Dan Klein (3:15-3:45) Break (3:45-4:45) Plenary Session II 3:45-4:15 Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky 4:15-4:45 Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization Kuzman Ganchev and Dipanjan Das (4:45-5:15) Closing session xli", |
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