| { |
| "paper_id": "P14-1000", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T09:05:22.866865Z" |
| }, |
| "title": "Preface: Program Committee Co-Chairs", |
| "authors": [ |
| { |
| "first": "Haifeng", |
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| "last": "Wang", |
| "suffix": "", |
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| "last": "Hirst", |
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| "email": "" |
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| { |
| "first": "Dragomir", |
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| "last": "Radev", |
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| "email": "" |
| }, |
| { |
| "first": "Renata", |
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| "last": "Vieira", |
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| "email": "" |
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| { |
| "first": "Jian", |
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| "last": "Su", |
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| "affiliation": {}, |
| "email": "" |
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| { |
| "first": "Min-Yen", |
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| "last": "Kan", |
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| "email": "" |
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| { |
| "first": "Stephen", |
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| "last": "Clark", |
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| "email": "" |
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| { |
| "first": "Hal", |
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| "last": "Daum\u00e9", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Jason", |
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| "last": "Eisner", |
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| "email": "" |
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| { |
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| "last": "Poesio", |
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| { |
| "first": "Kristina", |
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| { |
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| { |
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| { |
| "first": "Ulla", |
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| { |
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| { |
| "first": "Ekaterina", |
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| "last": "Kochmar", |
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| { |
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| { |
| "first": "Jordan", |
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| { |
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| { |
| "first": "Liang", |
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| { |
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| { |
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| { |
| "first": "Yasemin", |
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| "last": "Altun", |
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| { |
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| { |
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| "last": "Atserias Batalla", |
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| "last": "Zhou", |
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| "last": "Zhou", |
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| { |
| "first": "Tom", |
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| "Chao" |
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| { |
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| "last": "Zweig", |
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| { |
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| { |
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| "last": "Anaya", |
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| { |
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| "last": "Arcan", |
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| "last": "Baldwin", |
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| { |
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| "last": "Di Bari", |
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| "first": "Fernando", |
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| "last": "Batista", |
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| { |
| "first": "Lisa", |
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| "last": "Beinborn", |
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| { |
| "first": "David", |
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| "last": "Belanger", |
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| { |
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| { |
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| { |
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| { |
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| "last": "Buschmeier", |
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| { |
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| "last": "Cao", |
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| { |
| "first": "Lin", |
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| "last": "Chen", |
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| "affiliation": {}, |
| "email": "" |
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| { |
| "first": "Wenliang", |
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| "last": "Chen", |
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| { |
| "first": "Bin", |
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| "last": "Chen", |
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| { |
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| { |
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| "abstract": "III) have been instrumental in setting ACL'2014 in motion and in guiding the ACL'2014 committee along the path from concept to execution. Without the collective memory and hands-on guidance of the committee, an ACL conference will never happen. The ACL'2014 Committee did a fantastic job making this conference possible. The committee covered a lot of ground from logistics to paper selection, to co-located event selection and publishing. The masterminds of all these intertwining tasks were: Kristina Toutanova and Hua Wu (Program Committee Chairs); David Yarowsky (Local Arrangements Chair); Jill Burstein and Llu\u00eds M\u00e0rquez (Workshop Chairs); Alex Fraser and Yang Liu (Tutorial Chairs), Alexander Koller and Miyao Yusuke (Publication Chairs); Ekaterina Kochmar, Annie Louis, and Svitlana Volkova (Student Research Workshop Chairs); Bill Byrne and Jordan Boyd-Graber (Faculty Advisors for the Student Workshop Chairs); Kalina Bontcheva and Zhu Jingbo (Demonstration Chairs); and Jason Riesa (Publicity Chair). The Program Chairs were also instrumental in selecting our outstanding invited speakers: Corinna Cortez (Google) and Zoran Popovic (University of Washington).", |
| "pdf_parse": { |
| "paper_id": "P14-1000", |
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| "abstract": [ |
| { |
| "text": "III) have been instrumental in setting ACL'2014 in motion and in guiding the ACL'2014 committee along the path from concept to execution. Without the collective memory and hands-on guidance of the committee, an ACL conference will never happen. The ACL'2014 Committee did a fantastic job making this conference possible. The committee covered a lot of ground from logistics to paper selection, to co-located event selection and publishing. The masterminds of all these intertwining tasks were: Kristina Toutanova and Hua Wu (Program Committee Chairs); David Yarowsky (Local Arrangements Chair); Jill Burstein and Llu\u00eds M\u00e0rquez (Workshop Chairs); Alex Fraser and Yang Liu (Tutorial Chairs), Alexander Koller and Miyao Yusuke (Publication Chairs); Ekaterina Kochmar, Annie Louis, and Svitlana Volkova (Student Research Workshop Chairs); Bill Byrne and Jordan Boyd-Graber (Faculty Advisors for the Student Workshop Chairs); Kalina Bontcheva and Zhu Jingbo (Demonstration Chairs); and Jason Riesa (Publicity Chair). The Program Chairs were also instrumental in selecting our outstanding invited speakers: Corinna Cortez (Google) and Zoran Popovic (University of Washington).", |
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| "text": "Preface: General Chair I remember with great fondness the first ACL Conference I attended 20 years ago in Las Cruces, New Mexico. Some things have changed: papers presented there that I considered interesting or inconsequential have switched positions in my personal ranking as I learned more and more about our field; single sessions have long been replaced by parallel sessions to accommodate an ever increasing number of research contributions; the number of associated workshops and posters has mushroomed beyond anyone's dream. Almost without noticing, we transitioned from small conferences of a few hundred to conferences that bring together 1000 plus participants from all over the world. Our field has matured significantly attracting the attention of not only a handful of academics, but successful industries and Research Labs as well. Some things have stayed the same though: ACL continues to be the pre-eminent conference in our field and the best place to meet and make like-minded friends, discuss tantalizing tricks that you can learn about only in face-to-face communication settings, and celebrate the results we get. ACL Conferences are never possible without the dedication and hard work of many people. Because ACL'2014 is no exception to this, I would like to thank each and every person who has volunteered their time to make the event possible.", |
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| { |
| "text": "Corinna Cortes is the Head of Google Research, NY, where she is working on a broad range of theoretical and applied large-scale machine learning problems. Prior to Google, Corinna spent more than ten years at AT&T Labs -Research, formerly AT&T Bell Labs, where she held a distinguished research position. Corinna's research work is well-known in particular for her contributions to the theoretical foundations of support vector machines (SVMs), for which she jointly with Vladimir Vapnik received the 2008 Paris Kanellakis Theory and Practice Award, and her work on data-mining in very large data sets for which she was awarded the AT&T Science and Technology Medal in the year 2000. Corinna received her MS degree in Physics from University of Copenhagen and joined AT&T Bell Labs as a researcher in 1989. She received her Ph.D. in computer science from the University of Rochester in 1993. Corinna is also a competitive runner.", |
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| "section": "Biography", |
| "sec_num": null |
| }, |
| { |
| "text": "xv ", |
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| "eq_spans": [], |
| "section": "Biography", |
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| "text": "Recent studies show that to achieve mastery of a topic by 95% of the student population, some students need ten times more learning content than is available in current curricula. At issue is not just increased volume, but the need for a highly differentiated content specialized to promote optimal learning for each unique learner. To address this synthesis problem we have developed a generative platform capable of dynamically varying content based on the individual student needs. This approach recently achieved 93% mastery of a key algebra concept even for primary school students in three state-wide challenges. In this talk I will describe our work on extending the platform to enable students to solve all word problems in high-school within their preferred context (e.g. sci-fi, medieval, Harry Potter), as well as to automatically generate adaptive learning progressions for reading comprehension curricula in middle school.", |
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| "section": "Abstract", |
| "sec_num": null |
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| { |
| "text": "Zoran Popovi\u0107 is a Director of Center for Game Science at University of Washington and founder of Engaged Learning. Trained as a computer scientist his research focus is on creating interactive engaging environments for learning and scientific discovery. His laboratory created Foldit, a biochemistry game that produced three Nature publications in just two years, an award-winning math learning games played by over five million learners worldwide. He is currently focusing on engaging methods that can rapidly develop experts in arbitrary domains with particular focus on revolutionizing K-12 math education. He has recently founded Engaged Learning to apply his work on generative adaptation to any curricula towards the goal of achieving school mastery by 95% of students. His contributions to the field of interactive computer graphics have been recognized by a number of awards including the NSF CAREER Award, Alfred P. Sloan Fellowship and ACM SIGGRAPH Significant New Researcher Award.", |
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| "section": "Biography", |
| "sec_num": null |
| }, |
| { |
| "text": "xvii ", |
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| "eq_spans": [], |
| "section": "Biography", |
| "sec_num": null |
| } |
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| "raw_text": "Ulrike Pado, Martha Palmer, Patrick Pantel*, Antonio Pareja-Lora*, Cecile Paris, Patrick Paroubek, Kristen Parton, Rebecca J. Passonneau, Siddharth Patwardhan, Michael J. Paul*, Adam Pauls*, Adam Pease, Bolette Pedersen, Ted Pedersen, Thomas Pellegrini, Anselmo Pe\u00f1as, Wim Peters, Slav Petrov, Sasa Petrovic*, Ver\u00f3nica P\u00e9rez-Rosas, Maciej Piasecki, Olivier Pietquin, Daniele Pighin*, Manfred Pinkal, Stelios Piperidis, Emily Pitler, Paul Piwek, Barbara Plank, Lonneke xi van der Plas*, Massimo Poesio, Simone Paolo Ponzetto, Hoifung Poon, Fred Popowich, Matt Post, Sameer Pradhan, John Prager, Rashmi Prasad, Daniel Preo\u0163iuc-Pietro, Laurent Pr\u00e9vot, G\u00e1- bor Pr\u00f3sz\u00e9ky, Emily Prud'hommeaux, Adam Przepi\u00f3rkowski, Stephen Pulman, Matthew Purver, James Pustejovsky, Sampo Pyysalo*", |
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| "title": "(continued) Session 1D: Syntax, Parsing and Tagging I 11:00-11:25 Tagging The Web: Building A Robust Web Tagger with Neural Network Ji Ma, Yue Zhang and Jingbo Zhu Session 1E: NLP for the Web and Social Media I 10:10-10:35 Unsupervised Solution Post Identification from Discussion Forums Deepak P and Karthik Visweswariah 10:35-11:00 Weakly Supervised User Profile Extraction from Twitter Jiwei Li, Alan Ritter and Eduard Hovy 11:00-11:25 The effect of wording on message propagation: Topic-and author-controlled natural experiments on Twitter Chenhao Tan, Lillian Lee and Bo Pang 11:25-11:50 Inferring User Political Preferences from Streaming Communications Svitlana Volkova, Glen Coppersmith and Benjamin Van Durme", |
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| }, |
| { |
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| "last": "White", |
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| "first": "Rich", |
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| }, |
| { |
| "first": "Janyce", |
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| "last": "Wiebe", |
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| }, |
| { |
| "first": "Jason", |
| "middle": [ |
| "D" |
| ], |
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| }, |
| { |
| "first": "*", |
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| { |
| "first": "Sandra", |
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| { |
| "first": "Dekai", |
| "middle": [], |
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| }, |
| { |
| "first": "Stephen", |
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| "last": "Wu", |
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| }, |
| { |
| "first": "Xianchao", |
| "middle": [], |
| "last": "Wu", |
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| }, |
| { |
| "first": "Joern", |
| "middle": [], |
| "last": "Wuebker Fei", |
| "suffix": "" |
| }, |
| { |
| "first": "Tong", |
| "middle": [], |
| "last": "Xia", |
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| }, |
| { |
| "first": "Jun", |
| "middle": [], |
| "last": "Xiao", |
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| }, |
| { |
| "first": "Wei", |
| "middle": [], |
| "last": "Xie", |
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| }, |
| { |
| "first": "*", |
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| "last": "Xu", |
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| }, |
| { |
| "first": "Ying", |
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| "last": "Xu", |
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| }, |
| { |
| "first": "Nianwen", |
| "middle": [], |
| "last": "Xue", |
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| }, |
| { |
| "first": "Xiaobing", |
| "middle": [], |
| "last": "Xue Bishan", |
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| }, |
| { |
| "first": "Muyun", |
| "middle": [], |
| "last": "Yang", |
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| }, |
| { |
| "first": "Yi", |
| "middle": [], |
| "last": "Yang", |
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| }, |
| { |
| "first": "Roman", |
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| "last": "Yang", |
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| }, |
| { |
| "first": "Tae", |
| "middle": [], |
| "last": "Yangarber", |
| "suffix": "" |
| }, |
| { |
| "first": "Limin", |
| "middle": [], |
| "last": "Yano", |
| "suffix": "" |
| }, |
| { |
| "first": "Alexander", |
| "middle": [], |
| "last": "Yao", |
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| }, |
| { |
| "first": "Mark", |
| "middle": [], |
| "last": "Yates", |
| "suffix": "" |
| }, |
| { |
| "first": "*", |
| "middle": [], |
| "last": "Yatskar", |
| "suffix": "" |
| }, |
| { |
| "first": "Xing", |
| "middle": [], |
| "last": "Yi", |
| "suffix": "" |
| }, |
| { |
| "first": "Anssi", |
| "middle": [], |
| "last": "Yli-Jyr\u00e4", |
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| }, |
| { |
| "first": "Bei", |
| "middle": [], |
| "last": "Yu", |
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| }, |
| { |
| "first": "Hong", |
| "middle": [], |
| "last": "Yu", |
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| }, |
| { |
| "first": "Nicholas", |
| "middle": [], |
| "last": "Yuan ; Sujian", |
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| }, |
| { |
| "first": "Liang", |
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| "last": "Li", |
| "suffix": "" |
| }, |
| { |
| "first": "Ziqiang", |
| "middle": [], |
| "last": "Wang", |
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| }, |
| { |
| "first": "Wenjie", |
| "middle": [], |
| "last": "Cao", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Li ; Shujie", |
| "suffix": "" |
| }, |
| { |
| "first": "Mu", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Li ; Shujie", |
| "suffix": "" |
| }, |
| { |
| "first": "Qiming", |
| "middle": [], |
| "last": "Liu", |
| "suffix": "" |
| }, |
| { |
| "first": "Mu", |
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| "last": "Chen", |
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| }, |
| { |
| "first": "Ming", |
| "middle": [], |
| "last": "Li", |
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| }, |
| { |
| "first": "Muyun", |
| "middle": [], |
| "last": "Zhou", |
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| }, |
| { |
| "first": "Regina", |
| "middle": [], |
| "last": "Yang Xxxi Monday ; Tao Lei", |
| "suffix": "" |
| }, |
| { |
| "first": "Tommi", |
| "middle": [], |
| "last": "Barzilay", |
| "suffix": "" |
| }, |
| { |
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| "last": "Jaakkola", |
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| "first": ";", |
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| "last": "Globerson", |
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| "first": "", |
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| "last": "Sparser", |
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| { |
| "first": "", |
| "middle": [], |
| "last": "Better", |
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| }, |
| { |
| "first": "Gpu Parsing David", |
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| "last": "Faster", |
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| }, |
| { |
| "first": "Taylor", |
| "middle": [], |
| "last": "Hall", |
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| }, |
| { |
| "first": "Dan", |
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| "last": "Berg-Kirkpatrick", |
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| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Klein ; Leonid", |
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| { |
| "first": "Anatole", |
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| } |
| ], |
| "year": 2014, |
| "venue": "Morning Tutorial Session T1: Gaussian Processes for Natural Language Processing Session T2: Scalable Large-Margin Structured Learning: Theory and Algorithms Session T3: Semantics for Large-Scale Multimedia: New Challenges for NLP Session T4: Wikification and Beyond: The Challenges of Entity and Concept Grounding", |
| "volume": "10", |
| "issue": "", |
| "pages": "45--60", |
| "other_ids": {}, |
| "num": null, |
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| "raw_text": "Gerhard Van Huyssteen, Keith Vander Linden, Andrejs Vasi\u013cjevs, Paola Velardi, Marc Verhagen*, Yannick Versley, Cristina Vertan, Renata Vieira, Laure Vieu, David Vilar, Aline Villavicencio*, Marta Villegas, Sami Virpioja, Karthik Visweswariah, Andreas Vlachos, Svitlana Volkova*, Piek Vossen Michael Walsh, Stephen Wan, Xiaojun Wan, Jun Wang, Lu Wang, Rui Wang, Mengqiu Wang*, Bin Wang, Houfeng Wang, Haifeng Wang, Hsin-Min Wang, Wen Wang, Leo Wanner, Yotaro Watanabe, Bonnie Webber, Furu Wei, Gerhard Weikum, David Weir*, Michael White, Rich Wi- centowski, Janyce Wiebe, Jason D Williams*, Sandra Williams, Shuly Wintner, Kristian Wood- send*, Dekai Wu, Stephen Wu, Xianchao Wu, Joern Wuebker Fei Xia, Tong Xiao, Jun Xie, Wei Xu*, Ying Xu, Nianwen Xue, Xiaobing Xue Bishan Yang, Muyun Yang, Yi Yang, Roman Yangarber, Tae Yano, Limin Yao, Alexander Yates, Mark Yatskar*, Xing Yi, Anssi Yli-Jyr\u00e4, Bei Yu, Hong Yu, Nicholas Yuan, Fran\u00e7ois Yvon Conference Program Sunday, June 22, 2014 7:30-18:00 Registration 7:30-9:00 Breakfast 9:00-12:30 Morning Tutorial Session T1: Gaussian Processes for Natural Language Processing Session T2: Scalable Large-Margin Structured Learning: Theory and Algo- rithms Session T3: Semantics for Large-Scale Multimedia: New Challenges for NLP Session T4: Wikification and Beyond: The Challenges of Entity and Concept Grounding 12:30-14:00 Lunch break 14:00-17:30 Afternoon Tutorial Session T5: New Directions in Vector Space Models of Meaning Session T6: Structured Belief Propagation for NLP Session T7: Semantics, Discourse and Statistical Machine Translation Session T8: Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding 18:00-21:00 Welcome Reception xxix Monday, June 23, 2014 40-10:10 Coffee break Session 1A: Discourse, Dialogue, Coreference and Pragmatics 10:10-10:35 Representation Learning for Text-level Discourse Parsing Yangfeng Ji and Jacob Eisenstein 10:35-11:00 Text-level Discourse Dependency Parsing Sujian Li, Liang Wang, Ziqiang Cao and Wenjie Li 11:00-11:25 Discovering Latent Structure in Task-Oriented Dialogues Ke Zhai and Jason D Williams 11:25-11:50 Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features Anders Bj\u00f6rkelund and Jonas Kuhn xxx Monday, June 23, 2014 (continued) Session 1B: Semantics I 10:10-10:35 Multilingual Models for Compositional Distributed Semantics Karl Moritz Hermann and Phil Blunsom 10:35-11:00 Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Se- mantic Problem Woodley Packard, Emily M. Bender, Jonathon Read, Stephan Oepen and Rebecca Dridan 11:00-11:25 Logical Inference on Dependency-based Compositional Semantics Ran Tian, Yusuke Miyao and Takuya Matsuzaki 11:25-11:50 A practical and linguistically-motivated approach to compositional distributional seman- tics Denis Paperno, Nghia The Pham and Marco Baroni Session 1C: Machine Translation I 10:10-10:35 Lattice Desegmentation for Statistical Machine Translation Mohammad Salameh, Colin Cherry and Grzegorz Kondrak 10:35-11:00 Bilingually-constrained Phrase Embeddings for Machine Translation Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong 11:00-11:25 Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation Shixiang Lu, Zhenbiao Chen and Bo Xu 11:25-11:50 Learning Topic Representation for SMT with Neural Networks Lei Cui, Dongdong Zhang, Shujie Liu, Qiming Chen, Mu Li, Ming Zhou and Muyun Yang xxxi Monday, June 23, 2014 (continued) Session 1D: Syntax, Parsing and Tagging I 11:00-11:25 Tagging The Web: Building A Robust Web Tagger with Neural Network Ji Ma, Yue Zhang and Jingbo Zhu Session 1E: NLP for the Web and Social Media I 10:10-10:35 Unsupervised Solution Post Identification from Discussion Forums Deepak P and Karthik Visweswariah 10:35-11:00 Weakly Supervised User Profile Extraction from Twitter Jiwei Li, Alan Ritter and Eduard Hovy 11:00-11:25 The effect of wording on message propagation: Topic-and author-controlled natural ex- periments on Twitter Chenhao Tan, Lillian Lee and Bo Pang 11:25-11:50 Inferring User Political Preferences from Streaming Communications Svitlana Volkova, Glen Coppersmith and Benjamin Van Durme 11:50-13:20 Lunch break; Student Lunch Session 2A: Syntax, Parsing and Tagging II 13:20-13:45 Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees Yuan Zhang, Tao Lei, Regina Barzilay, Tommi Jaakkola and Amir Globerson 13:45-14:10 Sparser, Better, Faster GPU Parsing David Hall, Taylor Berg-Kirkpatrick and Dan Klein 14:10-14:35 Shift-Reduce CCG Parsing with a Dependency Model Wenduan Xu, Stephen Clark and Yue Zhang 14:35-15:00 Less Grammar, More Features David Hall, Greg Durrett and Dan Klein xxxii Monday, June 23, 2014 (continued) Session 2B: Semantics II 13:20-13:45 Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors Marco Baroni, Georgiana Dinu and Germ\u00e1n Kruszewski 13:45-14:10 Metaphor Detection with Cross-Lingual Model Transfer Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg and Chris Dyer 14:10-14:35 Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella and Timothy Baldwin 14:35-15:00 Learning to Automatically Solve Algebra Word Problems Nate Kushman, Luke Zettlemoyer, Regina Barzilay and Yoav Artzi Session 2C: Word Segmentation and POS Tagging 13:45-14:10 Modelling function words improves unsupervised word segmentation Mark Johnson, Anne Christophe, Emmanuel Dupoux and Katherine Demuth 14:35-15:00 Max-Margin Tensor Neural Network for Chinese Word Segmentation Wenzhe Pei, Tao Ge and Baobao Chang Session 2D: SRW Session 2E: Sentiment Analysis I 13:20-13:45 An Empirical Study on the Effect of Negation Words on Sentiment Xiaodan Zhu, Hongyu Guo, Saif Mohammad and Svetlana Kiritchenko 13:45-14:10 Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co- ranking Kang Liu, Liheng Xu and Jun Zhao 14:10-14:35 Context-aware Learning for Sentence-level Sentiment Analysis with Posterior Regulariza- tion Bishan Yang and Claire Cardie 14:35-15:00 Product Feature Mining: Semantic Clues versus Syntactic Constituents Liheng Xu, Kang Liu, Siwei Lai and Jun Zhao xxxiii Monday, June 23, 2014 (continued) 15:00-15:30 Coffee break Session 3A: Topic Modeling 15:30-15:55 Aspect Extraction with Automated Prior Knowledge Learning Zhiyuan Chen, Arjun Mukherjee and Bing Liu 15:55-16:20 Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms Thang Nguyen, Yuening Hu and Jordan Boyd-Graber 16:20-16:45 A Bayesian Mixed Effects Model of Literary Character David Bamman, Ted Underwood and Noah A. Smith Session 3B: Information Extraction I 15:30-15:55 Collective Tweet Wikification based on Semi-supervised Graph Regularization Hongzhao Huang, Yunbo Cao, Xiaojiang Huang, Heng Ji and Chin-Yew Lin 15:55-16:20 Zero-shot Entity Extraction from Web Pages Panupong Pasupat and Percy Liang 16:20-16:45 Incremental Joint Extraction of Entity Mentions and Relations Qi Li and Heng Ji Session 3C: Generation 15:30-15:55 That's Not What I Meant! Using Parsers to Avoid Structural Ambiguities in Generated Text Manjuan Duan and Michael White 15:55-16:20 Surface Realisation from Knowledge-Bases Bikash Gyawali and Claire Gardent 16:20-16:45 Hybrid Simplification using Deep Semantics and Machine Translation Shashi Narayan and Claire Gardent xxxiv Monday, June 23, 2014 (continued) Session 3D: Syntax, Parsing and Tagging III 15:55-16:20 Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing Weiwei Sun, Yantao Du, Xin Kou, Shuoyang Ding and Xiaojun Wan 16:20-16:45 Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing Zhenghua Li, Min Zhang and Wenliang Chen Session 3E: Language Resources and Evaluation I 15:30-15:55 A Robust Approach to Aligning Heterogeneous Lexical Resources Mohammad Taher Pilehvar and Roberto Navigli 15:55-16:20 Predicting the relevance of distributional semantic similarity with contextual information Philippe Muller, C\u00e9cile Fabre and Cl\u00e9mentine Adam 16:45-17:00 Break 17:00-18:00 Invited talk I: Corinna Cortes 17:00-18:00 Learning Ensembles of Structured Prediction Rules Corinna Cortes, Vitaly Kuznetsov and Mehryar Mohri Tuesday, June 24, 2014 7:30-18:00 Registration 7:30-9:00 Breakfast 9:00-10:00 Invited talk II: Zoran Popovi\u0107 9:00-10:00 Text Generation for Infinitely Adaptable Curricula Zoran Popovi\u0107 10:00-10:30 Coffee break Session 4A: Machine Learning for NLP 10:30-10:55 Kneser-Ney Smoothing on Expected Counts Hui Zhang and David Chiang 10:55-11:20 Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews, Jason Eisner and Mark Dredze 11:20-11:45 Linguistic Structured Sparsity in Text Categorization Dani Yogatama and Noah A. Smith 11:45-12:10 Perplexity on Reduced Corpora Hayato Kobayashi xxxviii Tuesday, June 24, 2014 (continued) Session 4B: Information Extraction II 10:30-10:55 Robust Domain Adaptation for Relation Extraction via Clustering Consistency Minh Luan Nguyen, Ivor W. Tsang, Kian Ming A. Chai and Hai Leong Chieu 10:55-11:20 Encoding Relation Requirements for Relation Extraction via Joint Inference Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin and Dongyan Zhao 11:20-11:45 Medical Relation Extraction with Manifold Models Chang Wang and James Fan 11:45-12:10 Distant Supervision for Relation Extraction with Matrix Completion Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng and Edward Y. Chang Session 4C: Machine Translation II 10:30-10:55 Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT Mei Tu, Yu Zhou and Chengqing Zong 10:55-11:20 Adaptive HTER Estimation for Document-Specific MT Post-Editing Fei Huang, Jian-Ming Xu, Abraham Ittycheriah and Salim Roukos 11:20-11:45 Translation Assistance by Translation of L1 Fragments in an L2 Context Maarten van Gompel and Antal van den Bosch 11:45-12:10 Response-based Learning for Grounded Machine Translation Stefan Riezler, Patrick Simianer and Carolin Haas xxxix Tuesday, June 24, 2014 (continued) Session 4D: Summarization 10:30-10:55 Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summariza- tion Daniele Pighin, Marco Cornolti, Enrique Alfonseca and Katja Filippova 10:55-11:20 Hierarchical Summarization: Scaling Up Multi-Document Summarization Janara Christensen, Stephen Soderland, Gagan Bansal and Mausam 11:20-11:45 Query-Chain Focused Summarization Tal Baumel, Raphael Cohen and Michael Elhadad 11:45-12:10 Exploiting Timelines to Enhance Multi-document Summarization Jun-Ping Ng, Yan Chen, Min-Yen Kan and Zhoujun Li Session 4E: Language Resources and Evaluation II 10:55-11:20 A chance-corrected measure of inter-annotator agreement for syntax Arne Skjaerholt 11:20-11:45 Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project Tiziano Flati, Daniele Vannella, Tommaso Pasini and Roberto Navigli 12:10-13:30 Lunch break Session 5A: Question Answering 13:30-13:55 Information Extraction over Structured Data: Question Answering with Freebase Xuchen Yao and Benjamin Van Durme 13:55-14:20 Knowledge-Based Question Answering as Machine Translation Junwei Bao, Nan Duan, Ming Zhou and Tiejun Zhao 14:20-14:45 Discourse Complements Lexical Semantics for Non-factoid Answer Reranking Peter Jansen, Mihai Surdeanu and Peter Clark xl Tuesday, June 24, 2014 (continued) Session 5B: Information Extraction III 13:30-13:55 Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Re- lation, Context, and Association Features Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Motoki Sano, Istv\u00e1n Varga, Jong- Hoon Oh and Yutaka Kidawara 13:55-14:20 Cross-narrative Temporal Ordering of Medical Events Preethi Raghavan, Eric Fosler-Lussier, No\u00e9mie Elhadad and Albert M. Lai Language-Aware Truth Assessment of Fact Candidates Ndapandula Nakashole and Tom M. Mitchell Session 5C: Lexical Semantics and Ontology I 13:30-13:55 That's sick dude!: Automatic identification of word sense change across different timescales Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee and Pawan Goyal 13:55-14:20 A Step-wise Usage-based Method for Inducing Polysemy-aware Verb Classes Daisuke Kawahara, Daniel W. Peterson and Martha Palmer 14:20-14:45 Structured Learning for Taxonomy Induction with Belief Propagation Mohit Bansal, David Burkett, Gerard de Melo and Dan Klein Session 5D: Syntax, Parsing and Tagging IV 13:30-13:55 A Provably Correct Learning Algorithm for Latent-Variable PCFGs Shay B. Cohen and Michael Collins 13:55-14:20 Spectral Unsupervised Parsing with Additive Tree Metrics Ankur P. Parikh, Shay B. Cohen and Eric P. Xing xli Tuesday, June 24, 2014 (continued) Session 5E: Cognitive Modeling and Psycholinguistics 13:30-13:55 Weak semantic context helps phonetic learning in a model of infant language acquisition Stella Frank, Naomi H. Feldman and Sharon Goldwater 13:55-14:20 Bootstrapping into Filler-Gap: An Acquisition Story Marten van Schijndel and Micha Elsner 14:20-14:45 Nonparametric Learning of Phonological Constraints in Optimality Theory Gabriel Doyle, Klinton Bicknell and Roger Levy 14:45-15:15 Coffee break Session 6A: Machine Translation III Session 6B: Lexical Semantics and Ontology II Session 6C: Generation/Summarization/Dialogue Session 6D: NLP Applications and NLP Enabled Technology I Session 6E: Language Resources and Evaluation III 16:50-19:20 Poster and Dinner Session II: Long Papers, Short Papers and Demonstrations Active Learning with Efficient Feature Weighting Methods for Improving Data Quality and Classification Accuracy Justin Martineau, Lu Chen, Doreen Cheng and Amit Sheth Political Ideology Detection Using Recursive Neural Networks Mohit Iyyer, Peter Enns, Jordan Boyd-Graber and Philip Resnik A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Trans- lation Junhui Li, Yuval Marton, Philip Resnik and Hal Daum\u00e9 III", |
| "links": null |
| }, |
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| "first": "Thomas", |
| "middle": [], |
| "last": "Gottron", |
| "suffix": "" |
| }, |
| { |
| "first": "Martin", |
| "middle": [], |
| "last": "K\u00f6rner", |
| "suffix": "" |
| }, |
| { |
| "first": "Paul", |
| "middle": [ |
| "Georg" |
| ], |
| "last": "Wagner", |
| "suffix": "" |
| }, |
| { |
| "first": "Till", |
| "middle": [], |
| "last": "Speicher", |
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| }, |
| { |
| "first": "Steffen", |
| "middle": [], |
| "last": "Staab A Semiparametric Gaussian ; Lidia", |
| "suffix": "" |
| }, |
| { |
| "first": "S", |
| "middle": [], |
| "last": "Chao", |
| "suffix": "" |
| }, |
| { |
| "first": "Derek", |
| "middle": [ |
| "F" |
| ], |
| "last": "Wong ; Yu Xin", |
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| { |
| "first": "Yuan", |
| "middle": [], |
| "last": "Zhang", |
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| }, |
| { |
| "first": "Regina", |
| "middle": [], |
| "last": "Barzilay", |
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| }, |
| { |
| "first": "Tommi Jaakkola ; Furu", |
| "middle": [], |
| "last": "Wei", |
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| { |
| "first": "Nan", |
| "middle": [], |
| "last": "Yang", |
| "suffix": "" |
| }, |
| { |
| "first": "Ming", |
| "middle": [], |
| "last": "Zhou", |
| "suffix": "" |
| } |
| ], |
| "year": 2014, |
| "venue": "ACL Business Meeting Session 8A: NLP for the Web and Social Media II Session 8B: Semantics/Information Extraction Session 8C: Machine Translation V Session 8D: Syntax, Parsing and Tagging V Session 8E: Multilinguality and Multimodal", |
| "volume": "19", |
| "issue": "", |
| "pages": "0--12", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney Smoothing Rene Pickhardt, Thomas Gottron, Martin K\u00f6rner, Paul Georg Wagner, Till Speicher and Steffen Staab A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls William Yang Wang and Zhenhao Hua Polylingual Tree-Based Topic Models for Translation Domain Adaptation Yuening Hu, Ke Zhai, Vladimir Eidelman and Jordan Boyd-Graber Low-Resource Semantic Role Labeling Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme and Mark Dredze Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar Jayant Krishnamurthy and Tom M. Mitchell Learning Semantic Hierarchies via Word Embeddings Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang and Ting Liu Probabilistic Soft Logic for Semantic Textual Similarity Islam Beltagy, Katrin Erk and Raymond Mooney Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries Yashar Mehdad, Giuseppe Carenini and Raymond T. Ng Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data Dimitra Gkatzia, Helen Hastie and Oliver Lemon Approximation Strategies for Multi-Structure Sentence Compression Kapil Thadani Opinion Mining on YouTube Aliaksei Severyn, Alessandro Moschitti, Olga Uryupina, Barbara Plank and Katja Filip- pova Automatic Keyphrase Extraction: A Survey of the State of the Art Kazi Saidul Hasan and Vincent Ng xliii Tuesday, June 24, 2014 (continued) Pattern Dictionary of English Prepositions Ken Litkowski Looking at Unbalanced Specialized Comparable Corpora for Bilingual Lexicon Extrac- tion Emmanuel Morin and Amir Hazem Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose Daniele Vannella, David Jurgens, Daniele Scarfini, Domenico Toscani and Roberto Nav- igli Shallow Analysis Based Assessment of Syntactic Complexity for Automated Speech Scor- ing Suma Bhat, Huichao Xue and Su-Youn Yoon Can You Repeat That? Using Word Repetition to Improve Spoken Term Detection Jonathan Wintrode and Sanjeev Khudanpur Character-Level Chinese Dependency Parsing Meishan Zhang, Yue Zhang, Wanxiang Che and Ting Liu Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization Xuezhe Ma and Fei Xia Unsupervised Morphology-Based Vocabulary Expansion Mohammad Sadegh Rasooli, Thomas Lippincott, Nizar Habash and Owen Rambow Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints Xiaodong Zeng, Lidia S. Chao, Derek F. Wong, Isabel Trancoso and Liang Tian 19:30-22:00 Social at the National Aquarium in Baltimore xliv Wednesday, June 25, 2014 7:30-18:00 Registration 7:30-9:00 Breakfast Best paper session 9:00-9:30 Fast and Robust Neural Network Joint Models for Statistical Machine Translation Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz and John Makhoul 9:30-10:00 Low-Rank Tensors for Scoring Dependency Structures Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola 10:15-10:45 Coffee break Session 7A: Multimodal NLP/ Lexical Semantics 11:10-11:35 CoSimRank: A Flexible & Efficient Graph-Theoretic Similarity Measure Sascha Rothe and Hinrich Sch\u00fctze 11:35-12:00 Is this a wampimuk? Cross-modal mapping between distributional semantics and the vi- sual world Angeliki Lazaridou, Elia Bruni and Marco Baroni Session 7B: Semantics III 10:45-11:10 Semantic Parsing via Paraphrasing Jonathan Berant and Percy Liang 11:10-11:35 A Discriminative Graph-Based Parser for the Abstract Meaning Representation Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith 11:35-12:00 Context-dependent Semantic Parsing for Time Expressions Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer 12:00-12:25 Semantic Frame Identification with Distributed Word Representations Karl Moritz Hermann, Dipanjan Das, Jason Weston and Kuzman Ganchev xlv Wednesday, June 25, 2014 (continued) Session 7C: Machine Translation IV 10:45-11:10 A Sense-Based Translation Model for Statistical Machine Translation Deyi Xiong and Min Zhang 11:10-11:35 Recurrent Neural Networks for Word Alignment Model Akihiro Tamura, Taro Watanabe and Eiichiro Sumita 11:35-12:00 A Constrained Viterbi Relaxation for Bidirectional Word Alignment Yin-Wen Chang, Alexander M. Rush, John DeNero and Michael Collins 12:00-12:25 A Recursive Recurrent Neural Network for Statistical Machine Translation Shujie Liu, Nan Yang, Mu Li and Ming Zhou Session 7D: NLP Applications and NLP Enabled Technology II 10:45-11:10 Predicting Instructor's Intervention in MOOC forums Snigdha Chaturvedi, Dan Goldwasser and Hal Daum\u00e9 III 11:10-11:35 A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction Zhongye Jia and Hai Zhao 11:35-12:00 Smart Selection Patrick Pantel, Michael Gamon and Ariel Fuxman 12:00-12:25 Modeling Prompt Adherence in Student Essays Isaac Persing and Vincent Ng xlvi Wednesday, June 25, 2014 (continued) Session 7E: Sentiment Analysis II 11:10-11:35 ConnotationWordNet: Learning Connotation over the Word+Sense Network Jun Seok Kang, Song Feng, Leman Akoglu and Yejin Choi 11:35-12:00 Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu and Bing Qin 12:00-12:25 Towards a General Rule for Identifying Deceptive Opinion Spam Jiwei Li, Myle Ott, Claire Cardie and Eduard Hovy 12:25-13:30 Lunch break 13:30-15:00 ACL Business Meeting Session 8A: NLP for the Web and Social Media II Session 8B: Semantics/Information Extraction Session 8C: Machine Translation V Session 8D: Syntax, Parsing and Tagging V Session 8E: Multilinguality and Multimodal NLP 16:30-17:00 Coffee break 17:00-18:30 Lifetime Achievement Award 18:30-19:00 Closing Session xlvii", |
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| "text": "Invited Talk: Text Generation for Infinitely Adaptable Curricula Zoran Popovi\u0107 Center for Game Science, Computer Science & Engineering, University of Washington" |
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| "text": "Learning Ensembles of Structured Prediction Rules Corinna Cortes, Vitaly Kuznetsov and Mehryar Mohri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Representation Learning for Text-level Discourse Parsing Yangfeng Ji and Jacob Eisenstein . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ." |
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