Tuesday, November 1, 2016

18:30 - 20:00

Welcome Reception - Salon H

Wednesday, November 2, 2016

07:30 - 17:30

Registration Day 1 - Salon H Prefunction

08:00 - 08:40

Morning Coffee

08:40 - 09:00

Session P1 - Plenary Session: Opening Remarks - Salon FG

08:40 - 09:00

Opening Remarks General Chair, PC Co-Chairs

09:00 - 10:00

Session P2 - Plenary Session: Invited Talk by Christopher Potts - Salon FG

09:00 - 10:00

Learning in Extended and Approximate Rational Speech Acts Models Christopher Potts

10:00 - 10:30

Coffee Break

10:30 - 12:10

Session 1A - Parsing and Syntax (Long Papers) - Salon FG Chair: Martins, André F. T.

10:30 - 10:55

Session 1A - Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles James Cross and Liang Huang Oregon State University

10:55 - 11:20

Session 1A - Rule Extraction for Tree-to-Tree Transducers by Cost Minimization Pascual Martínez-Gómez 1 and Yusuke Miyao 2 1 National Institute of Advanced Industrial Science and Technology (AIST), 2 National Instutite of Informatics

11:20 - 11:45

Session 1A - A Neural Network for Coordination Boundary Prediction Jessica Ficler 1 and Yoav Goldberg 2 1 Bar Ilan Univerdity, 2 Bar Ilan University

11:45 - 12:10

Session 1A - Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction Hiroshi Noji 1 , Yusuke Miyao 2 , Mark Johnson 3 1 Nara Institute of Science and Technology, 2 National Instutite of Informatics, 3 Macquarie University

10:30 - 12:10

Session 1B - Information Extraction (Long Papers) - Salon J Chair: Heng Ji

10:30 - 10:55

Session 1B - Distinguishing Past, On-going, and Future Events: The EventStatus Corpus Ruihong Huang 1 , Ignacio Cases 2 , Dan Jurafsky 2 , Cleo Condoravdi 2 , Ellen Riloff 3 1 Computer Science and Engineering, Texas A&M; University, 2 Stanford University, 3 University of Utah

10:55 - 11:20

Session 1B - Nested Propositions in Open Information Extraction Nikita Bhutani 1 , H V Jagadish 1 , Dragomir Radev 2 1 University of Michigan, Ann Arbor, 2 University of Michigan

11:20 - 11:45

Session 1B - A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification Yunlun Yang, Yunhai Tong, Shulei Ma, Zhi-Hong Deng Peking University

11:45 - 12:10

Session 1B - Learning to Recognize Discontiguous Entities Aldrian Obaja Muis and Wei Lu Singapore University of Technology and Design

10:30 - 12:10

Session 1C - Psycholinguistics / Machine Learning (Long Papers) - Room 616 AB Chair: Alona Fyshe

10:30 - 10:55

Session 1C - Modeling Human Reading with Neural Attention Michael Hahn and Frank Keller University of Edinburgh

10:55 - 11:20

Session 1C - Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task Libby Barak 1 , Adele E. Goldberg 2 , Suzanne Stevenson 1 1 University of Toronto, 2 Princeton University

11:20 - 11:45

Session 1C - Rationalizing Neural Predictions Tao Lei, Regina Barzilay, Tommi Jaakkola MIT

11:45 - 12:10

Session 1C - Deep Multi-Task Learning with Shared Memory for Text Classification Pengfei Liu 1 , Xipeng Qiu 2 , Xuanjing Huang 2 1 , 2 Fudan University

12:10 - 13:40

Lunch

13:40 - 15:20

Session 2A - Reading Comprehension and Question Answering (Long Papers) - Salon FG Chair: Phil Blunsom

13:40 - 14:05

Session 2A - Natural Language Comprehension with the EpiReader Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman Maluuba, Inc.

14:05 - 14:30

Session 2A - Creating Causal Embeddings for Question Answering with Minimal Supervision Rebecca Sharp 1 , Mihai Surdeanu 1 , Peter Jansen 1 , Peter Clark 2 , Michael Hammond 1 1 University of Arizona, 2 Allen Institute for Artificial Intelligence

14:30 - 14:55

Session 2A - Improving Semantic Parsing via Answer Type Inference Semih Yavuz 1 , Izzeddin Gur 2 , Yu Su 2 , Mudhakar Srivatsa 3 , Xifeng Yan 2 1 University of California Santa Barbara, 2 UC Santa Barbara, 3 IBM Research

14:55 - 15:20

Session 2A - Semantic Parsing to Probabilistic Programs for Situated Question Answering Jayant Krishnamurthy 1 , Oyvind Tafjord 2 , Aniruddha Kembhavi 1 1 Allen Institute for Artificial Intelligence, 2 AI2

13:40 - 15:20

Session 2B - Embeddings of Linguistic Structure (Long Papers) - Salon J Chair: Katrin Erk

13:40 - 14:05

Session 2B - Event participant modelling with neural networks Ottokar Tilk 1 , Vera Demberg 2 , Asad Sayeed 2 , Dietrich Klakow 2 , Stefan Thater 3 1 Tallinn University of Technology, 2 Saarland University, 3 Universität des Saarlandes

14:05 - 14:30

Session 2B - Context-Dependent Sense Embedding Lin Qiu 1 , Kewei Tu 2 , Yong Yu 1 1 Shanghai Jiao Tong University, 2 ShanghaiTech University

14:30 - 14:55

Session 2B - Jointly Embedding Knowledge Graphs and Logical Rules Shu Guo 1 , Quan Wang 1 , Lihong Wang 2 , Bin Wang 1 , Li Guo 1 1 Institute of Information Engineering, Chinese Academy of Sciences, 2 National Computer Network Emergency Response Technical Team/Coordination Center of China

14:55 - 15:20

Session 2B - Learning Connective-based Word Representations for Implicit Discourse Relation Identification Chloé Braud 1 and Pascal Denis 2 1 University of Copenhagen, 2 INRIA

13:40 - 15:20

Session 2C - Sentiment and Opinion Analysis (Long Papers) - Room 616 AB Chair: Preslav Nakov

13:40 - 14:05

Session 2C - Aspect Level Sentiment Classification with Deep Memory Network Duyu Tang 1 , Bing Qin 2 , Ting Liu 2 1 Microsoft Research Asia, 2 Harbin Institute of Technology

14:05 - 14:30

Session 2C - Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets Lei Shu 1 , Bing Liu 1 , Hu Xu 1 , Annice Kim 2 1 Department of Computer Science, University of Illinois at Chicago, 2 RTI International

14:30 - 14:55

Session 2C - Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification Jianfei Yu and Jing Jiang Singapore Management University

14:55 - 15:20

Session 2C - Attention-based LSTM Network for Cross-Lingual Sentiment Classification Xinjie Zhou, Xiaojun Wan, Jianguo Xiao Peking University

15:20 - 15:50

Coffee Break

15:50 - 17:30

Session 3A - Neural Machine Translation (Long + TACL Papers) - Salon FG Chair: Alexandra Birch

15:50 - 16:15

Session 3A - [TACL]    Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation Jie Zhou 1 , Ying Cao 2 , Xuguang Wang 2 , Peng Li 1 , Wei Xu 2 1 Baidu Research, 2 Baidu Inc

16:15 - 16:40

Session 3A - Neural versus Phrase-Based Machine Translation Quality: a Case Study Luisa Bentivogli 1 , Arianna Bisazza 2 , Mauro Cettolo 1 , Marcello Federico 1 1 Fondazione Bruno Kessler (Italy), 2 University of Amsterdam (The Netherlands)

16:40 - 17:05

Session 3A - Zero-Resource Translation with Multi-Lingual Neural Machine Translation Orhan Firat 1 , Baskaran Sankaran 2 , Yaser Al-Onaizan 2 , Fatos T. Yarman Vural 1 , Kyunghyun Cho 3 1 Middle East Technical University, 2 IBM, 3 New York University

17:05 - 17:30

Session 3A - Memory-enhanced Decoder for Neural Machine Translation Mingxuan Wang 1 , Zhengdong Lu 2 , Hang Li 2 , Qun Liu 1 1 Institute of Computing Technology, Chinese Academy of Sciences, 2 Noah's Ark Lab, Huawei

15:50 - 17:30

Session 3B - Semi-supervised and Minimally Supervised Learning (Long + TACL Papers) - Salon J Chair: Lluís Màrquez

15:50 - 16:15

Session 3B - Semi-Supervised Learning of Sequence Models with Method of Moments Zita Marinho 1 , André F. T. Martins 2 , Shay B. Cohen 3 , Noah A. Smith 4 1 Carnegie Mellon University / University of Lisbon, 2 Priberam, Instituto de Telecomunicacoes, 3 University of Edinburgh, 4 University of Washington

16:15 - 16:40

Session 3B - [TACL]    Minimally supervised models for number normalization Kyle Gorman 1 and Richard Sproat 2 1 Google, Inc., 2 Google

16:40 - 17:05

Session 3B - Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems Shyam Upadhyay 1 , Ming-Wei Chang 2 , Kai-Wei Chang 3 , Wen-tau Yih 2 1 UIUC, 2 Microsoft Research, 3 University of Virginia

17:05 - 17:30

Session 3B - TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter Jeniya Tabassum 1 , Alan Ritter 1 , Wei Xu 2 1 The Ohio State University, 2 University of Pennsylvania

15:50 - 17:30

Session 3C - Summarization and Generation (Long Papers) - Room 616 AB Chair: Hiroya Takamura

15:50 - 16:15

Session 3C - Language as a Latent Variable: Discrete Generative Models for Sentence Compression Yishu Miao and Phil Blunsom University of Oxford

16:15 - 16:40

Session 3C - Globally Coherent Text Generation with Neural Checklist Models Chloé Kiddon, Luke Zettlemoyer, Yejin Choi University of Washington

16:40 - 17:05

Session 3C - A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs Kristina Toutanova 1 , Chris Brockett 1 , Ke M. Tran 2 , Saleema Amershi 1 1 Microsoft Research, 2 University of Amsterdam

17:05 - 17:30

Session 3C - PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification Dominique Brunato 1 , Andrea Cimino 2 , Felice Dell'Orletta 2 , Giulia Venturi 2 1 Institute of Computational Linguistics "A. Zampolli" (ILC-CNR), Pisa, 2 Institute of Computational Linguistics "A. Zampolli", ILC-CNR, Pisa

17:30 - 17:45

Break

17:45 - 18:15

Session P3 - Plenary Session: Half Minute Madness A - Salon FG Chair: Joel Tetreault, Brendan O'Connor, Courtney Napoles

18:15 - 20:15

Session P4 - Poster Session A - Salon H and J

Session P4 - L01    Discourse Parsing with Attention-based Hierarchical Neural Networks [Discourse & Dialogue] Qi Li 1 , Tianshi Li 2 , Baobao Chang 1 1 Peking University, 2 Institute of Computational Linguistic, Peking University

Session P4 - L02    Multi-view Response Selection for Human-Computer Conversation [Discourse & Dialogue] Xiangyang Zhou 1 , Daxiang Dong 1 , Hua Wu 2 , Shiqi Zhao 2 , Dianhai Yu 1 , Hao Tian 1 , Xuan Liu 1 , Rui Yan 1 1 Baidu Inc., 2 Baidu

Session P4 - L03    Variational Neural Discourse Relation Recognizer [Discourse & Dialogue] Biao Zhang 1 , Deyi Xiong 2 , jinsong su 1 , Qun Liu 3 , Rongrong Ji 1 , Hong Duan 1 , Min Zhang 4 1 Xiamen University, 2 Soochow University, 3 Dublin City University, 4 Suda

Session P4 - L04    Event Detection and Co-reference with Minimal Supervision [Information Extraction] Haoruo Peng 1 , Yangqiu Song 2 , Dan Roth 3 1 UIUC, 2 HKUST, 3 University of Illinois

Session P4 - L05    Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network [Information Extraction] Tuan Luu Anh 1 , Yi Tay 2 , Siu Cheung Hui 2 , See Kiong Ng 3 1 , 2 NTU, 3 A*Star Singapore

Session P4 - L06    Relation Schema Induction using Tensor Factorization with Side Information [Information Extraction] Madhav Nimishakavi, Uday Singh Saini, Partha Talukdar Indian Institute of Science

Session P4 - L07    Supervised Distributional Hypernym Discovery via Domain Adaptation [Information Extraction] Luis Espinosa Anke 1 , Jose Camacho-Collados 2 , Claudio Delli Bovi 2 , Horacio Saggion 1 1 Universitat Pompeu Fabra, 2 Sapienza University of Rome

Session P4 - L08    Latent Tree Language Model [Language Modeling] Tomáš Brychcín Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia

Session P4 - L09    Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics [Language and Vision] Douwe Kiela 1 , Anita Lilla Verő 2 , Stephen Clark 2 1 University of Cambridge Computer Laboratory, 2 University of Cambridge

Session P4 - L10    Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding [Language and Vision] Akira Fukui 1 , Dong Huk Park 2 , Daylen Yang 2 , Anna Rohrbach 3 , Trevor Darrell 2 , Marcus Rohrbach 4 1 Sony Corp, 2 UC Berkeley, 3 Max Planck Institute for Informatics, 4 berkeley.edu

Session P4 - L11    The Structured Weighted Violations Perceptron Algorithm [Machine Learning] Rotem Dror 1 and Roi Reichart 2 1 Technion, 2 Technion - Israel Institute of Technology

Session P4 - L12    How Transferable are Neural Networks in NLP Applications? [Machine Learning] Lili Mou 1 , Zhao Meng 2 , Rui Yan 3 , Ge Li 1 , Yan Xu 4 , Lu Zhang 1 , Zhi Jin 1 1 Peking University, 2 Software Institute, Peking University, Beijing 100871, P. R. China, 3 Baidu Inc., 4 PKU

Session P4 - L13    Morphological Priors for Probabilistic Neural Word Embeddings [Machine Learning] Parminder Bhatia 1 , Robert Guthrie 2 , Jacob Eisenstein 2 1 , 2 Georgia Institute of Technology

Session P4 - L14    Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation [Machine Translation] Wenbin Jiang 1 , Wen Zhang 1 , Jinan Xu 2 , Rangjia Cai 3 1 Institute of Computing Technology, CAS, 2 Beijing Jiaotong University, 3 Qinghai Normal University

Session P4 - L15    IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations [Machine Translation] Naoki Otani 1 , Toshiaki Nakazawa 2 , Daisuke Kawahara 1 , Sadao Kurohashi 1 1 Kyoto University, 2 Japan Science and Technology Agency

Session P4 - L16    Variational Neural Machine Translation [Machine Translation] Biao Zhang 1 , Deyi Xiong 2 , jinsong su 1 , Hong Duan 1 , Min Zhang 3 1 Xiamen University, 2 Soochow University, 3 Suda

Session P4 - L17    Towards a Convex HMM Surrogate for Word Alignment [Machine Translation] Andrei Simion, Michael Collins, Cliff Stein Columbia University

Session P4 - L18    Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding [Question Answering] Huazheng Wang 1 , Fei Tian 2 , Bin Gao 3 , Chengjieren Zhu 4 , Jiang Bian 5 , Tie-Yan Liu 2 1 University of Virginia, 2 Microsoft Research, 3 Microsoft, 4 University of California, San Diego, 5 Yidian Inc.

Session P4 - L19    Long Short-Term Memory-Networks for Machine Reading [Question Answering] Jianpeng Cheng 1 , Li Dong 1 , Mirella Lapata 2 1 University of Edinburgh, 2 School of Informatics, University of Edinburgh

Session P4 - L20    On Generating Characteristic-rich Question Sets for QA Evaluation [Question Answering] Yu Su 1 , Huan Sun 2 , Brian Sadler 3 , Mudhakar Srivatsa 4 , Izzeddin Gur 1 , Zenghui Yan 1 , Xifeng Yan 1 1 University of California Santa Barbara, 2 The Ohio State University, 3 U.S. Army Research Lab, 4 IBM Research

Session P4 - L21    Learning to Translate for Multilingual Question Answering [Question Answering] Ferhan Ture 1 and Elizabeth Boschee 2 1 Comcast Labs, 2 Raytheon BBN Technologies

Session P4 - L22    A Semiparametric Model for Bayesian Reader Identification [Question Answering] Ahmed Abdelwahab, Reinhold Kliegl, Niels Landwehr University of Potsdam

Session P4 - L23    Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora [Sentiment Analysis] William L. Hamilton 1 , Kevin Clark 2 , Jure Leskovec 1 , Dan Jurafsky 1 1 Stanford University, 2 Stanford Univeristy

Session P4 - L24    Attention-based LSTM for Aspect-level Sentiment Classification [Sentiment Analysis] Yequan Wang 1 , Minlie Huang 1 , xiaoyan zhu 2 , Li Zhao 3 1 Tsinghua University, 2 , 3 Microsoft Research Asia

Session P4 - L25    Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis [Sentiment Analysis] Wenya Wang 1 , Sinno Jialin Pan 1 , Daniel Dahlmeier 2 , Xiaokui Xiao 1 1 Nanyang Technological University, 2 SAP

Session P4 - L26    Extracting Aspect Specific Opinion Expressions [Sentiment Analysis] Abhishek Laddha 1 and Arjun Mukherjee 2 1 Indian Institute of Technology Delhi, 2 University of Houston

Session P4 - L27    Emotion Distribution Learning from Texts [Sentiment Analysis] Deyu ZHOU, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng School of computer science and engineering, Southeast University

Session P4 - L28    Building an Evaluation Scale using Item Response Theory [Semantics] John Lalor 1 , Hao Wu 2 , hong yu 3 1 University of Massachusetts Amherst, 2 Boston College, 3 University of Massachusetts Medical School

Session P4 - L29    WordRank: Learning Word Embeddings via Robust Ranking [Semantics] Shihao Ji 1 , Hyokun Yun 2 , Pinar Yanardag 3 , Shin Matsushima 4 , S. V. N. Vishwanathan 5 1 Intel, 2 Amazon, 3 Purdue University, 4 University of Tokyo, 5 Univ. of California, Santa Cruz

Session P4 - L30    Exploring Semantic Representation in Brain Activity Using Word Embeddings [Semantics] Yu-Ping Ruan 1 , Zhen-Hua Ling 1 , Yu Hu 2 1 University of Science and Technology of China, 2 iFLYTEK Research, Heifei, China

Session P4 - L31    AMR Parsing with an Incremental Joint Model [Semantics] Junsheng Zhou 1 , Feiyu Xu 2 , Hans Uszkoreit 3 , Weiguang QU 1 , Ran Li 1 , Yanhui Gu 1 1 Nanjing Normal University, 2 DFKI LT Lab, 3 DFKI and Saarland University

Session P4 - L32    Identifying Dogmatism in Social Media: Signals and Models [Social Media & Computational Social Science] Ethan Fast 1 and Eric Horvitz 2 1 Stanford University, 2 Microsoft Research

Session P4 - L33    Enhanced Personalized Search using Social Data [Social Media & Computational Social Science] Dong Zhou 1 , Séamus Lawless 2 , Xuan Wu 1 , Wenyu Zhao 1 , Jianxun Liu 1 1 Hunan University of Science and Technology, 2 Trinity Collge Dublin

Session P4 - L34    Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing [Syntax & Morphology] Ilan Tchernowitz 1 , Liron Yedidsion 2 , Roi Reichart 2 1 Technion, 2 Technion - Israel Institute of Technology

Session P4 - L35    Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary [Syntax & Morphology] Qi Zhang, Jin Qian, Ya Guo, Yaqian Zhou, Xuanjing Huang Fudan University

Session P4 - L36    Neural Network for Heterogeneous Annotations [Syntax & Morphology] Hongshen Chen 1 , Yue Zhang 2 , Qun Liu 3 1 Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, 2 Singapore University of Technology and Design, 3 Dublin City University

Session P4 - L37    LAMB: A Good Shepherd of Morphologically Rich Languages [Syntax & Morphology] Sebastian Ebert 1 , Thomas Müller 2 , Hinrich Schütze 1 1 Center for Information and Language Processing, University of Munich, 2 CIS, University of Munich

Session P4 - L38    Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning [Syntax & Morphology] Zhenghua Li 1 , Jiayuan Chao 1 , Min Zhang 2 , Jiwen Yang 1 1 Soochow University, 2 Suda

Session P4 - L39    Unsupervised Neural Dependency Parsing [Syntax & Morphology] Yong Jiang, Wenjuan Han, Kewei Tu ShanghaiTech University

Session P4 - L40    Generating Coherent Summaries of Scientific Articles Using Coherence Patterns [Summarization] Daraksha Parveen, Mohsen Mesgar, Michael Strube Heidelberg Institute for Theoretical Studies

Session P4 - L41    News Stream Summarization using Burst Information Networks [Summarization] Tao Ge 1 , Lei Cui 2 , Baobao Chang 3 , Sujian Li 3 , Ming Zhou 4 , Zhifang Sui 5 1 Key Laboratory of Computational Linguistics, Peking University, 2 Microsoft Research, 3 Peking University, 4 microsoft research asia, 5

Session P4 - L42    Rationale-Augmented Convolutional Neural Networks for Text Classification [Text Mining & Applications] Ye Zhang 1 , Iain Marshall 2 , Byron C. Wallace 3 1 University of Texas at Austin, 2 King's College London, 3 Northeastern University

Session P4 - L43    Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation [Text Mining & Applications] Yu-Yang Huang and Shou-De Lin Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

Session P4 - L44    Speculation and Negation Scope Detection via Convolutional Neural Networks [Text Mining & Applications] Zhong Qian 1 , Peifeng Li 1 , Qiaoming Zhu 1 , Guodong Zhou 1 , Zhunchen Luo 2 , Wei Luo 2 1 Soochow University, 2 China Defense Science and Technology Information Center

Session P4 - L45    Analyzing Linguistic Knowledge in Sequential Model of Sentence [Text Mining & Applications] Peng Qian, Xipeng Qiu, Xuanjing Huang Fudan University

Session P4 - L46    Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter [Text Mining & Applications] Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang Fudan University

Session P4 - L47    Solving and Generating Chinese Character Riddles [Text Mining & Applications] Chuanqi Tan 1 , Furu Wei 2 , Li Dong 3 , Weifeng Lv 1 , Ming Zhou 2 1 Beihang University, 2 Microsoft Research Asia, 3 University of Edinburgh

Session P4 - L48    Structured prediction models for RNN based sequence labeling in clinical text [Text Mining & Applications] Abhyuday Jagannatha 1 and hong yu 2 1 College of Information and Computer Sciences , UMass AMherst, 2 University of Massachusetts Medical School

Session P4 - L49    Learning to Represent Review with Tensor Decomposition for Spam Detection [Text Mining & Applications] Xuepeng Wang 1 , Kang Liu 2 , Shizhu He 1 , Jun Zhao 3 1 Institute of Automation, Chinese Academy of Sciences, 2 Chinese Academy of Sciences, 3 NLPR, Institute of Automation, Chinese Academy of Sciences

Session P4 - L50    Stance Detection with Bidirectional Conditional Encoding [Text Mining & Applications] Isabelle Augenstein 1 , Tim Rocktäschel 2 , Andreas Vlachos 3 , Kalina Bontcheva 3 1 Department of Computer Science, University College London, 2 University College London, 3 University of Sheffield

Session P4 - S01    Modeling Skip-Grams for Event Detection with Convolutional Neural Networks [Information Extraction] Thien Huu Nguyen and Ralph Grishman New York University

Session P4 - S02    Porting an Open Information Extraction System from English to German [Information Extraction] Tobias Falke 1 , Gabriel Stanovsky 2 , Iryna Gurevych 1 , Ido Dagan 3 1 UKP Lab, Technische Universität Darmstadt, 2 Bar Ilan University, 3 Bar-Ilan University

Session P4 - S03    Named Entity Recognition for Novel Types by Transfer Learning [Information Extraction] Lizhen Qu 1 , Gabriela Ferraro 1 , Liyuan Zhou 1 , Weiwei Hou 1 , Timothy Baldwin 2 1 Data61, 2 The University of Melbourne

Session P4 - S04    Extracting Subevents via an Effective Two-phase Approach [Information Extraction] Allison Badgett and Ruihong Huang Texas A&M; University

Session P4 - S05    Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition [Language and Vision] Tanmoy Mukherjee 1 and Timothy Hospedales 2 1 IIIT Hyderabad, 2

Session P4 - S06    Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions [Language and Vision] Arijit Ray 1 , Gordon Christie 2 , Mohit Bansal 3 , Dhruv Batra 2 , Devi Parikh 4 1 Virginia Polytechnic Institute and State University, 2 Virginia Tech, 3 University of North Carolina at Chapel Hill, 4 Georgia Institute of Technology

Session P4 - S07    Sort Story: Sorting Jumbled Images and Captions into Stories [Language and Vision] Harsh Agrawal 1 , Arjun Chandrasekaran 2 , Dhruv Batra 1 , Devi Parikh 3 , Mohit Bansal 4 1 Virginia Tech, 2 Virginia Tech, Toyota Technological Institute, 3 Georgia Institute of Technology, 4 University of North Carolina at Chapel Hill

Session P4 - S08    Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions? [Language and Vision] Abhishek Das 1 , Harsh Agrawal 1 , Larry Zitnick 2 , Devi Parikh 3 , Dhruv Batra 1 1 Virginia Tech, 2 Facebook, 3 Georgia Institute of Technology

Session P4 - S09    Recurrent Residual Learning for Sequence Classification [Machine Learning] Yiren Wang 1 and Fei Tian 2 1 University of Illinois at Urbana-Champaign, 2 Microsoft Research

Session P4 - S10    Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling [Machine Learning] Ehsan Shareghi 1 , Trevor Cohn 2 , Gholamreza Haffari 1 1 Monash University, 2 University of Melbourne

Session P4 - S11    A General Regularization Framework for Domain Adaptation [Machine Learning] Wei Lu 1 , Hai Leong Chieu 2 , Jonathan Löfgren 3 1 Singapore University of Technology and Design, 2 DSO National Laboratories, 3 Uppsala University

Session P4 - S12    Coverage Embedding Models for Neural Machine Translation [Machine Translation] Haitao Mi 1 , Baskaran Sankaran 2 , Zhiguo Wang 1 , Abe Ittycheriah 3 1 IBM Watson Research Center, 2 IBM T.J. Watson Research Center, 3 IBM

Session P4 - S13    Neural Morphological Analysis: Encoding-Decoding Canonical Segments [Syntax & Morphology] Katharina Kann 1 , Ryan Cotterell 2 , Hinrich Schütze 3 1 LMU Munich, 2 Johns Hopkins University, 3 Center for Information and Language Processing, University of Munich

Session P4 - S14    Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network [Syntax & Morphology] Peng Shi 1 , Zhiyang Teng 2 , Yue Zhang 2 1 ZheJiang University, 2 Singapore University of Technology and Design

Session P4 - S15    The Effects of Data Size and Frequency Range on Distributional Semantic Models [Semantics] Magnus Sahlgren 1 and Alessandro Lenci 2 1 Gavagai, 2 University of Pisa

Session P4 - S16    Multi-Granularity Chinese Word Embedding [Semantics] Rongchao Yin, Quan Wang, Peng Li, Rui Li, Bin Wang Institute of Information Engineering, Chinese Academy of Sciences

Session P4 - S17    Numerically Grounded Language Models for Semantic Error Correction [Semantics] Georgios Spithourakis 1 , Isabelle Augenstein 1 , Sebastian Riedel 2 1 Department of Computer Science, University College London, 2 UCL

Session P4 - S18    Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages [Semantics] Alan Akbik 1 , vishwajeet kumar 2 , Yunyao Li 3 1 IBM Research, 2 Department of Computer Science Engineering, Indian Institute of Technology Bombay, 3 IBM Research - Almaden

Session P4 - S19    A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis [Sentiment Analysis] Sebastian Ruder 1 , Parsa Ghaffari 2 , John G. Breslin 1 1 National University of Ireland, Galway, 2 Aylien Ltd.

Session P4 - S20    Are Word Embedding-based Features Useful for Sarcasm Detection? [Sentiment Analysis] Aditya Joshi 1 , Vaibhav Tripathi 2 , Kevin Patel 3 , Pushpak Bhattacharyya 4 , Mark Carman 5 1 IITB-Monash Research Academy, 2 IIT Bombay, India, 3 CSE, IIT Bombay, 4 CSE Department, IIT Bombay, 5 Monash University

Session P4 - S21    Weakly Supervised Tweet Stance Classification by Relational Bootstrapping [Sentiment Analysis] Javid Ebrahimi, Dejing Dou, Daniel Lowd University of Oregon

Session P4 - S22    The Gun Violence Database: A new task and data set for NLP [Social Media & Computational Social Science] Ellie Pavlick 1 , Heng Ji 2 , Xiaoman Pan 2 , Chris Callison-Burch 1 1 University of Pennsylvania, 2 Rensselaer Polytechnic Institute

Session P4 - S23    Fluency detection on communication networks [Social Media & Computational Social Science] Tom Lippincott and Benjamin Van Durme Johns Hopkins University

Session P4 - S25    Characterizing the Language of Online Communities and its Relation to Community Reception [Social Media & Computational Social Science] Trang Tran and Mari Ostendorf University of Washington

Session P4 - S26    Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts [Spoken Language Processing] Masashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto Nara Institute of Science and Technology

Session P4 - S27    Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems [Spoken Language Processing] Dario Bertero 1 , Farhad Bin Siddique 2 , Chien-Sheng Wu 3 , Yan Wan 2 , Ricky Ho Yin Chan 2 , Pascale Fung 2 1 Human Language Technology Center, The Hong Kong University of Science and Technology, 2 Human Language Technology Center, Hong Kong University of Science and Technology, 3 National Taiwan University

Session P4 - S28    A Neural Network Architecture for Multilingual Punctuation Generation [Summarization] Miguel Ballesteros 1 and Leo Wanner 2 1 Pompeu Fabra University, 2 ICREA and Pompeu Fabra University

Session P4 - S29    Neural Headline Generation on Abstract Meaning Representation [Summarization] Sho Takase 1 , Jun Suzuki 2 , Naoaki Okazaki 1 , Tsutomu Hirao 3 , Masaaki Nagata 4 1 Tohoku University, 2 NTT CS Lab., 3 NTT Communication Science Labs., 4 +81-774-93-5235

Session P4 - S30    Robust Gram Embeddings [Text Mining & Applications] Taygun Kekec and David M. J. Tax TU Delft

Session P4 - S31    SimpleScience: Lexical Simplification of Scientific Terminology [Text Mining & Applications] Yea Seul Kim 1 , Jessica Hullman 1 , Matthew Burgess 2 , Eytan Adar 3 1 University of Washington, 2 , 3 University of Michigan

Session P4 - S32    Automatic Features for Essay Scoring – An Empirical Study [Text Mining & Applications] Fei Dong and Yue Zhang Singapore University of Technology & Design

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Thursday, November 3, 2016

07:30 - 17:30

Registration Day 2 - Salon H Prefunction

08:00 - 09:00

Morning Coffee

09:00 - 10:00

Session P5 - Plenary Session: Invited Talk by Stefanie Tellex - Salon FG

09:00 - 10:00

Learning Models of Language, Action and Perception for Human-Robot Collaboration Stefanie Tellex

10:00 - 10:30

Coffee Break

10:30 - 12:10

Session 4A - Semantics and Semantic Parsing (Long Papers) - Salon FG Chair: Raymond Mooney

10:30 - 10:55

Session 4A - Semantic Parsing with Semi-Supervised Sequential Autoencoders Tomáš Kočiský 1 , Gábor Melis 1 , Edward Grefenstette 1 , Chris Dyer 1 , Wang Ling 1 , Phil Blunsom 2 , Karl Moritz Hermann 1 1 Google DeepMind, 2 University of Oxford

10:55 - 11:20

Session 4A - Equation Parsing : Mapping Sentences to Grounded Equations Subhro Roy 1 , Shyam Upadhyay 2 , Dan Roth 3 1 University of Illinois, Urbana Champaign, 2 UIUC, 3 University of Illinois

11:20 - 11:45

Session 4A - Automatic Extraction of Implicit Interpretations from Modal Constructions Jordan Sanders and Eduardo Blanco University of North Texas

11:45 - 12:10

Session 4A - Understanding Negation in Positive Terms Using Syntactic Dependencies Zahra Sarabi and Eduardo Blanco University of North Texas

10:30 - 12:10

Session 4B - NLP for Social Science and Health (Long + TACL Papers) - Salon J Chair: Thamar Solorio

10:30 - 10:55

Session 4B - Demographic Dialectal Variation in Social Media: A Case Study of African-American English Su Lin Blodgett 1 , Lisa Green 1 , Brendan O'Connor 2 1 University of Massachusetts Amherst, 2 Univ. of Massachusetts, Amherst

10:55 - 11:20

Session 4B - Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter? Koustav Rudra 1 , Shruti Rijhwani 2 , Rafiya Begum 3 , Kalika Bali 3 , Monojit Choudhury 4 , Niloy Ganguly 1 1 Indian Institute of Technology, Kharagpur, 2 Carnegie Mellon University, 3 Microsoft Research India, 4 Microsoft Research

11:20 - 11:45

Session 4B - Detecting and Characterizing Events Allison Chaney 1 , Hanna Wallach 2 , Matthew Connelly 3 , David Blei 3 1 Princeton University, 2 Microsoft Research, 3 Columbia University

11:45 - 12:10

Session 4B - [TACL]    Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health Tim Althoff, Kevin Clark, Jure Leskovec Stanford University

10:30 - 12:10

Session 4C - Language Models (Long + TACL Papers) - Room 616 AB Chair: Yang Liu

10:30 - 10:55

Session 4C - [TACL]    Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees Ehsan Shareghi 1 , Matthias Petri 2 , Gholamreza Haffari 1 , Trevor Cohn 3 1 Monash University, 2 The University of Melbourne, 3 University of Melbourne

10:55 - 11:20

Session 4C - Convolutional Neural Network Language Models Ngoc-Quan Pham, Germán Kruszewski, Gemma Boleda University of Trento

11:20 - 11:45

Session 4C - [TACL]    Sparse Non-negative Matrix Language Modeling Joris Pelemans 1 , Noam Shazeer 2 , Ciprian Chelba 2 1 KU Leuven, 2 Google

11:45 - 12:10

Session 4C - Generalizing and Hybridizing Count-based and Neural Language Models Graham Neubig 1 and Chris Dyer 2 1 Carnegie Mellon University, 2 Google DeepMind

12:10 - 13:40

Lunch

13:00 - 13:40

Session P6 - SIGDAT Business Meeting - Salon FG

13:40 - 15:20

Session 5A - Text Generation (Long Papers) - Salon FG Chair: Kathy McKeown

13:40 - 14:05

Session 5A - Reasoning about Pragmatics with Neural Listeners and Speakers Jacob Andreas 1 and Dan Klein 2 1 Berkeley, 2 UC Berkeley

14:05 - 14:30

Session 5A - Generating Topical Poetry Marjan Ghazvininejad 1 , Xing Shi 2 , Yejin Choi 3 , Kevin Knight 4 1 USC, 2 University of Southern California, 3 University of Washington, 4 USC/ISI

14:30 - 14:55

Session 5A - Deep Reinforcement Learning for Dialogue Generation Jiwei Li 1 , Will Monroe 1 , Alan Ritter 2 , Dan Jurafsky 1 , Michel Galley 3 , Jianfeng Gao 4 1 Stanford University, 2 The Ohio State University, 3 Microsoft Research, 4 Microsoft

14:55 - 15:20

Session 5A - Neural Text Generation from Structured Data with Application to the Biography Domain Rémi Lebret 1 , David Grangier 2 , Michael Auli 3 1 Idiap/EPFL, 2 Facebook, 3 Facebook AI Research

13:40 - 15:20

Session 5B - Discourse and Document Structure (Long Papers) - Salon J Chair: Bonnie Webber

13:40 - 14:05

Session 5B - What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation Ivan Habernal and Iryna Gurevych UKP Lab, Technische Universität Darmstadt

14:05 - 14:30

Session 5B - Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention Yang Liu and Sujian Li Peking University

14:30 - 14:55

Session 5B - Antecedent Selection for Sluicing: Structure and Content Pranav Anand 1 and Daniel Hardt 2 1 University of California, Santa Cruz, 2 Copenhagen Business School

14:55 - 15:20

Session 5B - Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network Ryu Iida 1 , Kentaro Torisawa 2 , Jong-Hoon Oh 2 , Canasai Kruengkrai 2 , Julien Kloetzer 1 1 National Institute of Information and Communications Technology, 2 NICT

13:40 - 15:20

Session 5C - Machine Translation and Multilingual Applications (Long Papers) - Room 616 AB Chair: Graham Neubig

13:40 - 14:05

Session 5C - An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages Antonios Anastasopoulos 1 , David Chiang 1 , Long Duong 2 1 University of Notre Dame, 2 The University of Melbourne

14:05 - 14:30

Session 5C - HUME: Human UCCA-Based Evaluation of Machine Translation Alexandra Birch 1 , Omri Abend 2 , Ondřej Bojar 3 , Barry Haddow 1 1 University of Edinburgh, 2 The Hebrew University of Jerusalem, 3 Charles University in Prague, Faculty of Mathematics and Physics

14:30 - 14:55

Session 5C - Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping Jian Ni and Radu Florian IBM Research

14:55 - 15:20

Session 5C - Learning Crosslingual Word Embeddings without Bilingual Corpora Long Duong 1 , Hiroshi Kanayama 2 , Tengfei Ma 3 , Steven Bird 4 , Trevor Cohn 4 1 The University of Melbourne, 2 IBM Research - Tokyo, 3 IBM Research-Tokyo, 4 University of Melbourne

15:20 - 15:50

Coffee Break

15:50 - 17:30

Session 6A - Neural Sequence-to-Sequence Models (Long Papers) - Salon FG Chair: Regina Barzilay

15:50 - 16:15

Session 6A - Sequence-to-Sequence Learning as Beam-Search Optimization Sam Wiseman and Alexander M. Rush Harvard University

16:15 - 16:40

Session 6A - Online Segment to Segment Neural Transduction Lei Yu 1 , Jan Buys 2 , Phil Blunsom 1 1 University of Oxford, 2 Department of Computer Science, University of Oxford

16:40 - 17:05

Session 6A - Sequence-Level Knowledge Distillation Yoon Kim and Alexander M. Rush Harvard University

17:05 - 17:30

Session 6A - Controlling Output Length in Neural Encoder-Decoders Yuta Kikuchi 1 , Graham Neubig 2 , Ryohei Sasano 1 , Hiroya Takamura 1 , Manabu Okumura 1 1 Tokyo Institute of Technology, 2 Carnegie Mellon University

15:50 - 17:30

Session 6B - Text Mining and NLP Applications (Long + TACL Papers) - Salon J Chair: Hinrich Schütze

15:50 - 16:15

Session 6B - Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts Cole Peterson and Alona Fyshe University of Victoria

16:15 - 16:40

Session 6B - All Fingers are not Equal: Intensity of References in Scientific Articles Tanmoy Chakraborty 1 and Ramasuri Narayanam 2 1 University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, 2 IBM Research, India

16:40 - 17:05

Session 6B - Improving Users' Demographic Prediction via the Videos They Talk about Yuan Wang, Yang Xiao, Chao Ma, Zhen Xiao Peking University

17:05 - 17:30

Session 6B - [TACL]    Understanding Satirical Articles Using Common-Sense Dan Goldwasser and Xiao Zhang Purdue University

15:50 - 17:30

Session 6C - Knowledge Base and Inference (Long Papers) - Room 616 AB Chair: Kristina Toutanova

15:50 - 16:15

Session 6C - AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding Xiang Ren 1 , Wenqi He 2 , Meng Qu 2 , Lifu Huang 3 , Heng Ji 3 , Jiawei Han 2 1 University of Illinois at Urbana-Champaign, 2 UIUC, 3 Rensselaer Polytechnic Institute

16:15 - 16:40

Session 6C - Mining Inference Formulas by Goal-Directed Random Walks Zhuoyu Wei 1 , Jun Zhao 2 , Kang Liu 1 1 Chinese Academy of Sciences, 2 NLPR, Institute of Automation, Chinese Academy of Sciences

16:40 - 17:05

Session 6C - Lifted Rule Injection for Relation Embeddings Thomas Demeester 1 , Tim Rocktäschel 2 , Sebastian Riedel 3 1 Ghent University - iMinds, 2 University College London, 3 UCL

17:05 - 17:30

Session 6C - Key-Value Memory Networks for Directly Reading Documents Alexander Miller 1 , Adam Fisch 1 , Jesse Dodge 2 , Amir-Hossein Karimi 1 , Antoine Bordes 1 , Jason Weston 1 1 Facebook, 2 Carnegie Mellon University

17:30 - 17:45

Break

17:45 - 18:15

Session P7 - Plenary Session: Half-minute Madness B - Salon FG Chair: Joel Tetreault, Brendan O'Connor, Courtney Napoles

18:15 - 20:15

Session P8 - Poster Session B - Salon H and J

Session P8 - L01    Analyzing Framing through the Casts of Characters in the News [Discourse & Dialogue] Dallas Card 1 , Justin Gross 2 , Amber Boydstun 3 , Noah A. Smith 4 1 Carnegie Mellon University, 2 University of Massachusetts, Amherst, 3 University of California, Davis, 4 University of Washington

Session P8 - L02    The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues [Discourse & Dialogue] Diane Litman 1 , Susannah Paletz 2 , Zahra Rahimi 1 , Stefani Allegretti 1 , Caitlin Rice 1 1 University of Pittsburgh, 2 University of Maryland

Session P8 - L03    Personalized Emphasis Framing for Persuasive Message Generation [Discourse & Dialogue] Tao Ding and Shimei Pan University of Maryland Baltimore County

Session P8 - L04    Cross Sentence Inference for Process Knowledge [Information Extraction] Samuel Louvan 1 , Chetan Naik 1 , Sadhana Kumaravel 1 , Heeyoung Kwon 1 , Niranjan Balasubramanian 1 , Peter Clark 2 1 Stony Brook University, 2 Allen Institute for Artificial Intelligence

Session P8 - L05    Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities [Information Extraction] Yi Yang 1 , Ming-Wei Chang 2 , Jacob Eisenstein 1 1 Georgia Institute of Technology, 2 Microsoft Research

Session P8 - L06    Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings [Information Extraction] Akash Bharadwaj, David Mortensen, Chris Dyer, Jaime Carbonell Carnegie Mellon University

Session P8 - L07    Long-Short Range Context Neural Networks for Language Modeling [Language Modeling] Youssef Oualil, Mittul Singh, Clayton Greenberg, Dietrich Klakow Saarland University

Session P8 - L08    Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration [Language and Vision] Changsong Liu 1 , Shaohua Yang 1 , Sari Saba-Sadiya 1 , Nishant Shukla 2 , Yunzhong He 2 , Song-chun Zhu 2 , Joyce Chai 1 1 Michigan State University, 2 University of California, Los Angeles

Session P8 - L09    Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes [Language and Vision] Gordon Christie 1 , Ankit Laddha 2 , Aishwarya Agrawal 1 , Stanislaw Antol 1 , Yash Goyal 1 , Kevin Kochersberger 1 , Dhruv Batra 1 1 Virginia Tech, 2 Carnegie Mellon University

Session P8 - L10    Charagram: Embedding Words and Sentences via Character n-grams [Machine Learning] John Wieting 1 , Mohit Bansal 2 , Kevin Gimpel 3 , Karen Livescu 4 1 University of Illinois; TTI-Chicago, 2 University of North Carolina at Chapel Hill, 3 Toyota Technological Institute at Chicago, 4 TTI-Chicago

Session P8 - L11    Length bias in Encoder Decoder Models and a Case for Global Conditioning [Machine Learning] Pavel Sountsov 1 and Sunita Sarawagi 2 1 Google, 2 IIT Bombay

Session P8 - [TACL]    Comparing Apples to Apple: The Effects of Stemmers on Topic Models Alexandra Schofield and David Mimno Cornell University

Session P8 - L13    Does String-Based Neural MT Learn Source Syntax? [Machine Translation] Xing Shi 1 , Inkit Padhi 1 , Kevin Knight 2 1 University of Southern California, 2 USC/ISI

Session P8 - L14    Exploiting Source-side Monolingual Data in Neural Machine Translation [Machine Translation] Jiajun Zhang 1 and Chengqing Zong 2 1 Institute of Automation Chinese Academy of Sciences, 2 Institute of Automation, Chinese Academy of Sciences

Session P8 - L15    Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction [Machine Translation] Marcin Junczys-Dowmunt 1 and Roman Grundkiewicz 2 1 Adam Mickiewicz University, Poznań, 2 Adam Mickiewicz University in Poznań

Session P8 - L16    Incorporating Discrete Translation Lexicons into Neural Machine Translation [Machine Translation] Philip Arthur 1 , Graham Neubig 2 , Satoshi Nakamura 1 1 Nara Institute of Science and Technology, 2 Carnegie Mellon University

Session P8 - L17    Transfer Learning for Low-Resource Neural Machine Translation [Machine Translation] Barret Zoph 1 , Deniz Yuret 2 , Jonathan May 3 , Kevin Knight 4 1 University of Southern California, 2 Koc University, 3 USC Information Sciences Institute, 4 USC/ISI

Session P8 - L18    MixKMeans: Clustering Question-Answer Archives [Question Answering] Deepak P Queen's University Belfast

Session P8 - L19    It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering [Question Answering] Preslav Nakov 1 , Lluís Màrquez 2 , Francisco Guzmán 3 1 Qatar Computing Research Institute, HBKU, 2 Qatar Computing Research Institute, 3 Facebook

Session P8 - L20    Character-Level Question Answering with Attention [Question Answering] Xiaodong He 1 and David Golub 2 1 Microsoft Research, 2 University of Washington

Session P8 - L21    Learning to Generate Textual Data [Question Answering] Guillaume Bouchard 1 , Pontus Stenetorp 2 , Sebastian Riedel 1 1 UCL, 2 University College London

Session P8 - L22    A Theme-Rewriting Approach for Generating Algebra Word Problems [Question Answering] Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi University of Washington

Session P8 - L23    Context-Sensitive Lexicon Features for Neural Sentiment Analysis [Sentiment Analysis] Zhiyang Teng, Duy Tin Vo, Yue Zhang Singapore University of Technology and Design

Session P8 - L24    Event-Driven Emotion Cause Extraction with Corpus Construction [Sentiment Analysis] Lin Gui 1 , Dongyin Wu 2 , Ruifeng Xu 2 , Qin Lu 3 , Yu Zhou 2 1 Key Laboratory of Network Oriented Intelligent Computation, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, 2 Laboratory of Network Oriented Intelligent Computation, Shenzhen Graduate School, Harbin Institute of Technology, 3 Department of Computing, the Hong Kong Polytechnic University

Session P8 - L25    Neural Sentiment Classification with User and Product Attention [Sentiment Analysis] Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin, Zhiyuan Liu Tsinghua University

Session P8 - L26    Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification [Sentiment Analysis] Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang Fudan University

Session P8 - L27    Deep Neural Networks with Massive Learned Knowledge [Sentiment Analysis] Zhiting Hu 1 , Zichao Yang 2 , Ruslan Salakhutdinov 1 , Eric Xing 1 1 Carnegie Mellon University, 2 CMU

Session P8 - L28    De-Conflated Semantic Representations [Semantics] Mohammad Taher Pilehvar and Nigel Collier University of Cambridge

Session P8 - L29    Improving Sparse Word Representations with Distributional Inference for Semantic Composition [Semantics] Thomas Kober, Julie Weeds, Jeremy Reffin, David Weir University of Sussex

Session P8 - L30    Modelling Interaction of Sentence Pair with Coupled-LSTMs [Semantics] Pengfei Liu 1 , Xipeng Qiu 2 , Yaqian Zhou 2 , Jifan Chen 2 , Xuanjing Huang 2 1 , 2 Fudan University

Session P8 - L31    Universal Decompositional Semantics on Universal Dependencies [Semantics] Aaron Steven White 1 , Drew Reisinger 1 , Keisuke Sakaguchi 1 , Tim Vieira 2 , Sheng Zhang 1 , Rachel Rudinger 1 , Kyle Rawlins 1 , Benjamin Van Durme 3 1 Johns Hopkins University, 2 Johns Hopkins, 3 JHU

Session P8 - L32    Friends with Motives: Using Text to Infer Influence on SCOTUS [Social Media & Computational Social Science] Yanchuan Sim 1 , Bryan Routledge 1 , Noah A. Smith 2 1 Carnegie Mellon University, 2 University of Washington

Session P8 - L33    Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms [Syntax & Morphology] Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup McGill University

Session P8 - L34    Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser [Syntax & Morphology] Adhiguna Kuncoro 1 , Miguel Ballesteros 2 , Lingpeng Kong 1 , Chris Dyer 3 , Noah A. Smith 4 1 Carnegie Mellon University, 2 Pompeu Fabra University, 3 Google DeepMind, 4 University of Washington

Session P8 - L35    LSTM Shift-Reduce CCG Parsing [Syntax & Morphology] Wenduan Xu Cambridge University

Session P8 - L36    An Evaluation of Parser Robustness for Ungrammatical Sentences [Syntax & Morphology] Homa B. Hashemi 1 and Rebecca Hwa 2 1 Intelligent Systems Program, University of Pittsburgh, 2 University of Pittsburgh

Session P8 - L37    Neural Shift-Reduce CCG Semantic Parsing [Syntax & Morphology] Dipendra Kumar Misra and Yoav Artzi Cornell University

Session P8 - L38    Syntactic Parsing of Web Queries [Syntax & Morphology] Xiangyan Sun 1 , Haixun Wang 2 , Yanghua Xiao 1 , Zhongyuan Wang 3 1 Fudan University, 2 Facebook, 3 Microsoft Research

Session P8 - L39    Unsupervised Text Recap Extraction for TV Series [Summarization] Hongliang Yu, Shikun Zhang, Louis-Philippe Morency Carnegie Mellon University

Session P8 - L40    On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements [Text Mining & Applications] Markus Dollmann and Michaela Geierhos University of Paderborn, Heinz Nixdorf Institute

Session P8 - L41    Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data [Text Mining & Applications] Zhen Hai 1 , Peilin Zhao 1 , Peng Cheng 2 , Peng Yang 1 , Xiao-Li Li 1 , Guangxia Li 3 1 Data Analytics Department, Institute for Infocomm Research (I2R), A*STAR, Singapore, 2 School of Computer Science and Engineering, Nanyang Technological University, Singapore, 3 School of Computer Science and Technology, Xidian University, China

Session P8 - L42    Regularizing Text Categorization with Clusters of Words [Text Mining & Applications] Konstantinos Skianis, Francois Rousseau, Michalis Vazirgiannis Ecole Polytechnique

Session P8 - L43    Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads [Text Mining & Applications] Ji He 1 , Mari Ostendorf 1 , Xiaodong He 2 , Jianshu Chen 2 , Jianfeng Gao 2 , Lihong Li 2 , Li Deng 2 1 University of Washington, 2 Microsoft Research

Session P8 - L44    Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse [Text Mining & Applications] Maria Moritz 1 , Andreas Wiederhold 2 , Barbara Pavlek 3 , Yuri Bizzoni 4 , Marco Büchler 2 1 Georg-August-University Göttingen, 2 University of Göttingen, 3 Max Planck Institute for the Science of Human History, 4 University of Gothenburg

Session P8 - L45    A Graph Degeneracy-based Approach to Keyword Extraction [Text Mining & Applications] Antoine Tixier 1 , Fragkiskos Malliaros 2 , Michalis Vazirgiannis 2 1 Ecole Polytechnique, Palaiseau, France, 2 Ecole Polytechnique

Session P8 - L46    Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context [Text Mining & Applications] Elliot Schumacher 1 , Maxine Eskenazi 1 , Gwen Frishkoff 2 , Kevyn Collins-Thompson 3 1 Carnegie Mellon University, 2 University of Oregon, 3 University of Michigan

Session P8 - L47    A Neural Approach to Automated Essay Scoring [Text Mining & Applications] Kaveh Taghipour and Hwee Tou Ng National University of Singapore

Session P8 - L48    Non-uniform Language Detection in Technical Writing [Text Mining & Applications] Weibo Wang 1 , Abidalrahman Moh'd 1 , Aminul Islam 2 , Axel Soto 3 , Evangelos Milios 1 1 Dalhousie University, 2 University of Louisiana at Lafayette, 3 University of Manchester

Session P8 - L49    Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models [Text Mining & Applications] Shamil Chollampatt, Duc Tam Hoang, Hwee Tou Ng National University of Singapore

Session P8 - S01    Orthographic Syllable as basic unit for SMT between Related Languages [Machine Translation] Anoop Kunchukuttan 1 and Pushpak Bhattacharyya 2 1 IIT Bombay, 2 CSE Department, IIT Bombay

Session P8 - S02    Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge [Text Mining & Applications] Nicholas Locascio 1 , Karthik Narasimhan 2 , Eduardo De Leon 1 , Nate Kushman 3 , Regina Barzilay 1 1 MIT, 2 CSAIL, MIT, 3 MSR

Session P8 - S03    Supervised Keyphrase Extraction as Positive Unlabeled Learning [Information Extraction] Lucas Sterckx 1 , Cornelia Caragea 2 , Thomas Demeester 1 , Chris Develder 1 1 Ghent University - iMinds, 2 University of North Texas

Session P8 - S04    Learning to Answer Questions from Wikipedia Infoboxes [Information Extraction] Alvaro Morales, Varot Premtoon, Cordelia Avery, Sue Felshin, Boris Katz CSAIL MIT

Session P8 - S05    Timeline extraction using distant supervision and joint inference [Information Extraction] Savelie Cornegruta 1 and Andreas Vlachos 2 1 King's College London, 2 University of Sheffield

Session P8 - S06    Combining Supervised and Unsupervised Enembles for Knowledge Base Population [Information Extraction] Nazneen Fatema Rajani 1 and Raymond Mooney 2 1 The University of Texas at Austin, 2 University of Texas at Austin

Session P8 - S07    Character Sequence Models for Colorful Words [Language and Vision] Kazuya Kawakami 1 , Chris Dyer 2 , Bryan Routledge 1 , Noah A. Smith 3 1 Carnegie Mellon University, 2 Google DeepMind, 3 University of Washington

Session P8 - S08    Analyzing the Behavior of Visual Question Answering Models [Language and Vision] Aishwarya Agrawal 1 , Dhruv Batra 1 , Devi Parikh 2 1 Virginia Tech, 2 Georgia Institute of Technology

Session P8 - S09    Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text [Language and Vision] Subhashini Venugopalan 1 , Lisa Anne Hendricks 2 , Raymond Mooney 3 , Kate Saenko 4 1 The University of Texas at Austin, 2 University of California at Berkeley, 3 University of Texas at Austin, 4 UMass Lowell

Session P8 - S10    Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity [Semantics] Emmanuele Chersoni 1 , Enrico Santus 2 , Alessandro Lenci 3 , Philippe Blache 4 , Chu-Ren Huang 5 1 Aix-Marseille University, 2 The Hong Kong Polytechnic University, 3 University of Pisa, 4 LPL CNRS, 5 The Hong Kong Polytechnic Universiy

Session P8 - S11    Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity [Machine Learning] Tim Vieira 1 , Ryan Cotterell 2 , Jason Eisner 2 1 Johns Hopkins, 2 Johns Hopkins University

Session P8 - S12    Learning Robust Representations of Text [Machine Learning] Yitong Li 1 , Trevor Cohn 1 , Timothy Baldwin 2 1 University of Melbourne, 2 The University of Melbourne

Session P8 - S13    Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity [Machine Learning] Kewei Tu ShanghaiTech University

Session P8 - S14    Gated Word-Character Recurrent Language Model [Machine Learning] Yasumasa Miyamoto and Kyunghyun Cho New York University

Session P8 - S15    Unsupervised Word Alignment by Agreement Under ITG Constraint [Syntax & Morphology] Hidetaka Kamigaito 1 , Akihiro Tamura 2 , Hiroya Takamura 1 , Manabu Okumura 1 , Eiichiro Sumita 3 1 Tokyo Institute of Technology, 2 National Institute of Information and Communications Technology, 3 National Institute of Information and Communication Technology

Session P8 - S16    Training with Exploration Improves a Greedy Stack LSTM Parser [Syntax & Morphology] Miguel Ballesteros 1 , Yoav Goldberg 2 , Chris Dyer 3 , Noah A. Smith 4 1 Pompeu Fabra University, 2 Bar Ilan University, 3 Google DeepMind, 4 University of Washington

Session P8 - S17    Capturing Argument Relationship for Chinese Semantic Role Labeling [Semantics] Lei Sha 1 , Sujian Li 1 , Baobao Chang 1 , Zhifang Sui 2 , Tingsong Jiang 3 1 Peking University, 2 , 3 Institute of Computational Linguistics,Peking University

Session P8 - S18    BrainBench: A Brain-Image Test Suite for Distributional Semantic Models [Semantics] Haoyan Xu 1 , Brian Murphy 2 , Alona Fyshe 1 1 University of Victoria, 2 Queen's University Belfast

Session P8 - S19    Evaluating Induced CCG Parsers on Grounded Semantic Parsing [Semantics] Yonatan Bisk 1 , Siva Reddy 2 , John Blitzer 3 , Julia Hockenmaier 4 , Mark Steedman 2 1 ISI/USC, 2 University of Edinburgh, 3 , 4 University of Illinois Urbana-Champaign

Session P8 - S20    Vector-space models for PPDB paraphrase ranking in context [Semantics] Marianna Apidianaki LIMSI-CNRS, University Paris-Saclay

Session P8 - S21    Interpreting Neural Networks to Improve Politeness Comprehension [Sentiment Analysis] Malika Aubakirova 1 and Mohit Bansal 2 1 University of Chicago, 2 University of North Carolina at Chapel Hill

Session P8 - S22    Does ‘well-being’ translate on Twitter? [Sentiment Analysis] Laura Smith 1 , Salvatore Giorgi 1 , Rishi Solanki 1 , Johannes Eichstaedt 1 , H. Andrew Schwartz 2 , Muhammad Abdul-Mageed 3 , Anneke Buffone 1 , Lyle Ungar 1 1 University of Pennsylvania, 2 Stony Brook University, 3 University of British Columbia

Session P8 - S23    Beyond Canonical Texts: A Computational Analysis of Fanfiction [Social Media & Computational Social Science] Smitha Milli 1 and David Bamman 2 1 UC Berkeley, 2 University of California, Berkeley

Session P8 - S24    Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference [Social Media & Computational Social Science] Masoud Rouhizadeh 1 , Lyle Ungar 2 , Anneke Buffone 2 , H. Andrew Schwartz 3 1 Stony Brook Univ. / Univ. of Pennsylvania, 2 University of Pennsylvania, 3 Stony Brook University

Session P8 - S25    Learning to Identify Metaphors from a Corpus of Proverbs [Social Media & Computational Social Science] Gözde Özbal 1 , Carlo Strapparava 1 , Serra Sinem Tekiroglu 2 , Daniele Pighin 3 1 FBK-irst, 2 University of Trento, Fondazione Bruno Kessler, 3 Google Inc

Session P8 - S26    An Embedding Model for Predicting Roll-Call Votes [Social Media & Computational Social Science] Peter Kraft, Hirsh Jain, Alexander M. Rush Harvard University

Session P8 - S27    Natural Language Model Re-usability for Scaling to Different Domains [Spoken Language Processing] Young-Bum Kim, Alexandre Rochette, Ruhi Sarikaya Microsoft

Session P8 - S28    Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling [Spoken Language Processing] Gakuto Kurata 1 , Bing Xiang 2 , Bowen Zhou 2 , Mo Yu 2 1 IBM Research, 2 IBM Watson

Session P8 - S29    AMR-to-text generation as a Traveling Salesman Problem [Summarization] Linfeng Song 1 , Yue Zhang 2 , Xiaochang Peng 1 , Zhiguo Wang 3 , Daniel Gildea 1 1 University of Rochester, 2 Singapore University of Technology and Design, 3 IBM Watson Research Center

Session P8 - S30    Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study [Text Mining & Applications] Raymond Hendy Susanto 1 , Hai Leong Chieu 2 , Wei Lu 1 1 Singapore University of Technology and Design, 2 DSO National Laboratories

Session P8 - S31    The Effects of the Content of FOMC Communications on US Treasury Rates [Text Mining & Applications] Christopher Rohlfs 1 , Sunandan Chakraborty 2 , Lakshminarayanan Subramanian 2 1 Morgan Stanley, 2 New York University

Session P8 - S32    Learning to refine text based recommendations [Text Mining & Applications] Youyang Gu, Tao Lei, Regina Barzilay, Tommi Jaakkola Massachusetts Institute of Technology

Session P8 - S33    There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction [Text Mining & Applications] Courtney Napoles 1 , Keisuke Sakaguchi 1 , Joel Tetreault 2 1 Johns Hopkins University, 2 Grammarly

Session P8 - S34    Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change [Social Media & Computational Social Science] William L. Hamilton, Jure Leskovec, Dan Jurafsky Stanford University

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Friday, November 4, 2016

07:30 - 17:30

Registration Day 3 - Salon H Prefunction

08:00 - 09:00

Morning Coffee

09:00 - 10:00

Session P9 - Plenary Session: Invited Talk by Andreas Stolcke - Salon FG

09:00 - 10:00

You Talking to Me? Speech-based and Multimodal Approaches for Human versus Computer Addressee Detection Andreas Stolcke

10:00 - 10:30

Coffee Break

10:30 - 12:10

Session 7A - Dialogue Systems (Long Papers) - Salon FG Chair: Diane Litman

10:30 - 10:55

Session 7A - How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation Chia-Wei Liu 1 , Ryan Lowe 1 , Iulian Serban 2 , Mike Noseworthy 1 , Laurent Charlin 1 , Joelle Pineau 1 1 McGill University, 2 University of Montreal

10:55 - 11:20

Session 7A - Addressee and Response Selection for Multi-Party Conversation Hiroki Ouchi 1 and Yuta Tsuboi 2 1 Nara Institute of Science and Technology, 2 IBM Research - Tokyo

11:20 - 11:45

Session 7A - Nonparametric Bayesian Models for Spoken Language Understanding Kei Wakabayashi 1 , Johane Takeuchi 2 , Kotaro Funakoshi 2 , Mikio Nakano 2 1 Tsukuba University, 2 Honda Research Institute Japan Co., Ltd.

11:45 - 12:10

Session 7A - Conditional Generation and Snapshot Learning in Neural Dialogue Systems Tsung-Hsien Wen 1 , Milica Gasic 1 , Nikola Mrkšić 1 , Lina M. Rojas Barahona 2 , Pei-Hao Su 1 , Stefan Ultes 1 , David Vandyke 1 , Steve Young 3 1 University of Cambridge, 2 University of Cambridge., 3 Cambridge University

10:30 - 12:10

Session 7B - Semantic Similarity (Long Papers) - Salon J Chair: Ido Dagan

10:30 - 10:55

Session 7B - Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment Stephen Roller 1 and Katrin Erk 2 1 The University of Texas at Austin, 2 University of Texas at Austin

10:55 - 11:20

Session 7B - SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity Daniela Gerz 1 , Ivan Vulić 1 , Felix Hill 2 , Roi Reichart 3 , Anna Korhonen 1 1 University of Cambridge, 2 Cambridge University, 3 Technion - Israel Institute of Technology

11:20 - 11:45

Session 7B - POLY: Mining Relational Paraphrases from Multilingual Sentences Adam Grycner 1 and Gerhard Weikum 2 1 Max-Planck Institute for Informatics, 2 Max Planck Institute for Informatics

11:45 - 12:10

Session 7B - Exploiting Sentence Similarities for Better Alignments Tao Li and Vivek Srikumar University of Utah

10:30 - 12:10

Session 7C - Dependency Parsing (Long + TACL Papers) - Room 616 AB Chair: Marie-Catherine de Marneffe

10:30 - 10:55

Session 7C - Bi-directional Attention with Agreement for Dependency Parsing Hao Cheng 1 , Hao Fang 1 , Xiaodong He 2 , Jianfeng Gao 3 , Li Deng 2 1 University of Washington, 2 Microsoft Research, 3 Microsoft Research, Redmond

10:55 - 11:20

Session 7C - [TACL]    The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages Dingquan Wang and Jason Eisner Johns Hopkins University

11:20 - 11:45

Session 7C - [TACL]    Easy-First Dependency Parsing with Hierarchical Tree LSTMs Eliyahu Kiperwasser 1 and Yoav Goldberg 2 1 Bar-Ilan University, 2 Bar Ilan University

11:45 - 12:10

Session 7C - Anchoring and Agreement in Syntactic Annotations Yevgeni Berzak 1 , Yan Huang 2 , Andrei Barbu 1 , Anna Korhonen 3 , Boris Katz 1 1 CSAIL MIT, 2 DTAL Cambridge University, 3 University of Cambridge

12:10 - 13:40

Lunch

13:40 - 15:25

Session 8A - Short Paper Oral Session I - Salon FG Chair: Wei Xu

13:40 - 13:55

Session 8A - Tense Manages to Predict Implicative Behavior in Verbs Ellie Pavlick and Chris Callison-Burch University of Pennsylvania

13:55 - 14:10

Session 8A - Who did What: A Large-Scale Person-Centered Cloze Dataset Takeshi Onishi 1 , Hai Wang 1 , Mohit Bansal 2 , Kevin Gimpel 1 , David McAllester 1 1 Toyota Technological Institute at Chicago, 2 University of North Carolina at Chapel Hill

14:10 - 14:25

Session 8A - Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser Koji Mineshima 1 , Ribeka Tanaka 1 , Pascual Martínez-Gómez 2 , Yusuke Miyao 3 , Daisuke Bekki 1 1 Ochanomizu University, 2 National Institute of Advanced Industrial Science and Technology (AIST), 3 National Instutite of Informatics

14:25 - 14:40

Session 8A - Learning to Generate Compositional Color Descriptions Will Monroe, Noah D. Goodman, Christopher Potts Stanford University

14:40 - 14:55

Session 8A - A Decomposable Attention Model for Natural Language Inference Ankur Parikh 1 , Oscar Täckström 1 , Dipanjan Das 2 , Jakob Uszkoreit 3 1 Google, 2 Google Inc., 3 Google, Inc.

14:55 - 15:10

Session 8A - Deep Reinforcement Learning for Mention-Ranking Coreference Models Kevin Clark and Christopher D. Manning Stanford University

15:10 - 15:25

Session 8A - A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification Lianhui Qin 1 , Zhisong Zhang 2 , Hai Zhao 2 1 Department of Computer Science and Engineering, Shanghai Jiao Tong University, 2 Shanghai Jiao Tong University

13:40 - 15:25

Session 8B - Short Paper Oral Session II - Salon J Chair: Yejin Choi

13:40 - 13:55

Session 8B - Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation Toshiaki Nakazawa 1 , John Richardson 2 , Sadao Kurohashi 2 1 Japan Science and Technology Agency, 2 Kyoto University

13:55 - 14:10

Session 8B - Why Neural Translations are the Right Length Xing Shi 1 , Kevin Knight 2 , Deniz Yuret 3 1 University of Southern California, 2 USC/ISI, 3 Koc University

14:10 - 14:25

Session 8B - Supervised Attentions for Neural Machine Translation Haitao Mi 1 , Zhiguo Wang 1 , Abe Ittycheriah 2 1 IBM Watson Research Center, 2 IBM

14:25 - 14:40

Session 8B - Learning principled bilingual mappings of word embeddings while preserving monolingual invariance Mikel Artetxe 1 , Gorka Labaka 2 , Eneko Agirre 2 1 University of the Basque Country, 2 University of the Basque Country (UPV/EHU)

14:40 - 14:55

Session 8B - Measuring the behavioral impact of machine translation quality improvements with A/B testing Ben Russell 1 and Duncan Gillespie 2 1 Etsy, Inc., 2 Etsy, Inc

14:55 - 15:10

Session 8B - Creating a Large Benchmark for Open Information Extraction Gabriel Stanovsky 1 and Ido Dagan 2 1 Bar Ilan University, 2 Bar-Ilan University

15:10 - 15:25

Session 8B - Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition Changxing Wu 1 , xiaodong shi 1 , Yidong Chen 2 , Yanzhou Huang 1 , jinsong su 1 1 Xiamen University, 2 Department of Cognitive Science, School of Information Science and Technology, Xiamen University

13:40 - 15:25

Session 8C - Short Paper Oral Session III - Room 616 AB Chair: Rebecca Hwa

13:40 - 13:55

Session 8C - Transition-Based Dependency Parsing with Heuristic Backtracking Jacob Buckman 1 , Miguel Ballesteros 2 , Chris Dyer 3 1 Carnegie Mellon University, 2 Pompeu Fabra University, 3 Google DeepMind

13:55 - 14:10

Session 8C - Word Ordering Without Syntax Allen Schmaltz 1 , Alexander M. Rush 1 , Stuart Shieber 2 1 Harvard University, 2

14:10 - 14:25

Session 8C - Morphological Segmentation Inside-Out Ryan Cotterell 1 , Arun Kumar 2 , Hinrich Schütze 3 1 Johns Hopkins University, 2 Universitat Oberta Catalonia, UPC, Barcelona, 3 Center for Information and Language Processing, University of Munich

14:25 - 14:40

Session 8C - Parsing as Language Modeling Do Kook Choe and Eugene Charniak Brown University

14:40 - 14:55

Session 8C - Human-in-the-Loop Parsing Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer University of Washington

14:55 - 15:10

Session 8C - Unsupervised Timeline Generation for Wikipedia History Articles Sandro Bauer 1 and Simone Teufel 2 1 University of Cambridge, 2 Cambridge University

15:10 - 15:25

Session 8C - Encoding Temporal Information for Time-Aware Link Prediction Tingsong Jiang 1 , Tianyu Liu 2 , Tao Ge 3 , Lei Sha 4 , Sujian Li 4 , Baobao Chang 4 , Zhifang Sui 5 1 Institute of Computational Linguistics,Peking University, 2 PKU, 3 Key Laboratory of Computational Linguistics, Peking University, 4 Peking University, 5

15:25 - 15:50

Coffee Break

15:50 - 17:25

Session P10 - Plenary Session: Best Paper - Salon FG Chair: Kevin Duh Co-Chair: Xavier Carreras

15:50 - 15:55

Introduction to Best Papers Program Chairs

15:55 - 16:20

Session P10 - Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning Karthik Narasimhan 1 , Adam Yala 1 , Regina Barzilay 2 1 CSAIL, MIT, 2 MIT

16:20 - 16:45

Session P10 - Global Neural CCG Parsing with Optimality Guarantees Kenton Lee, Mike Lewis, Luke Zettlemoyer University of Washington

16:45 - 17:00

Session P10 - Learning a Lexicon and Translation Model from Phoneme Lattices Oliver Adams 1 , Graham Neubig 2 , Trevor Cohn 3 , Steven Bird 3 , Quoc Truong Do 4 , Satoshi Nakamura 5 1 The University of Melbourne, 2 Carnegie Mellon University, 3 University of Melbourne, 4 Graduate school of Information and Science, NARA Institute of Science and Technology, 5 Nara Institute of Science and Technology

17:00 - 17:25

Session P10 - SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang Stanford University

17:25 - 17:45

Session P11 - Plenary Session: Closing Remarks - Salon FG

17:25 - 17:45

Closing Remarks General Chair