| ACL 2014 CD | Conference ON CD | ACL 2014 ONLINE | ACL ONLINE |
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 Algorithms | |
| 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 |
Monday, June 23, 2014 | |
| 7:30–18:00 | Registration |
| 7:30–9:00 | Breakfast |
| 8:55–9:00 | Opening session |
| 9:00–9:40 | President talk |
| 9:40–10:10 | 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 Björkelund and Jonas Kuhn |
| 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 Semantic 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 semantics 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 |
| 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 |
| 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 |
| 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 Germán 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 Regularization 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 |
| 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 |
| 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, Cécile Fabre and Clémentine Adam |
| 16:45–17:00 | Break |
| 17:00–18:00 | Invited talk I: Corinna Cortes Learning Ensembles of Structured Prediction Rules Corinna Cortes, Vitaly Kuznetsov and Mehryar Mohri |
| Oral Sessions for Student Research Workshop Posters | |
| 18:50–21:30 | Poster and Dinner Session I: TACL Papers, Long Papers, Short Papers, Student Research Workshop; Demonstrations |
| Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning Alona Fyshe, Partha P. Talukdar, Brian Murphy and Tom M. Mitchell | |
| Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies Kallirroi Georgila, Claire Nelson and David Traum | |
| A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing Vanessa Wei Feng and Graeme Hirst | |
| Negation Focus Identification with Contextual Discourse Information Bowei Zou, Guodong Zhou and Qiaoming Zhu | |
| New Word Detection for Sentiment Analysis Minlie Huang, Borui Ye, Yichen Wang, Haiqiang Chen, Junjun Cheng and Xiaoyan Zhu | |
| ReNew: A Semi-Supervised Framework for Generating Domain-Specific Lexicons and Sentiment Analysis Zhe Zhang and Munindar P. Singh | |
| A Decision-Theoretic Approach to Natural Language Generation Nathan McKinley and Soumya Ray | |
| Generating Code-switched Text for Lexical Learning Igor Labutov and Hod Lipson | |
| Omni-word Feature and Soft Constraint for Chinese Relation Extraction Yanping Chen, Qinghua Zheng and Wei Zhang | |
| Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora Longhua Qian, Haotian Hui, Ya’nan Hu, Guodong Zhou and Qiaoming Zhu | |
| Learning Soft Linear Constraints with Application to Citation Field Extraction Sam Anzaroot, Alexandre Passos, David Belanger and Andrew McCallum | |
| A Study of Concept-based Weighting Regularization for Medical Records Search Yue Wang, Xitong Liu and Hui Fang | |
| Learning to Predict Distributions of Words Across Domains Danushka Bollegala, David Weir and John Carroll | |
| How to make words with vectors: Phrase generation in distributional semantics Georgiana Dinu and Marco Baroni | |
| Vector space semantics with frequency-driven motifs Shashank Srivastava and Eduard Hovy | |
| Lexical Inference over Multi-Word Predicates: A Distributional Approach Omri Abend, Shay B. Cohen and Mark Steedman | |
| A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner, Edward Grefenstette and Phil Blunsom | |
| Online Learning in Tensor Space Yuan Cao and Sanjeev Khudanpur | |
| Graph-based Semi-Supervised Learning of Translation Models from Monolingual Data Avneesh Saluja, Hany Hassan, Kristina Toutanova and Chris Quirk | |
| Using Discourse Structure Improves Machine Translation Evaluation Francisco Guzmán, Shafiq Joty, Lluís Màrquez and Preslav Nakov | |
| Learning Continuous Phrase Representations for Translation Modeling Jianfeng Gao, Xiaodong He, Wen-tau Yih and Li Deng | |
| Adaptive Quality Estimation for Machine Translation Marco Turchi, Antonios Anastasopoulos, José G. C. de Souza and Matteo Negri | |
| Learning Grounded Meaning Representations with Autoencoders Carina Silberer and Mirella Lapata | |
| Joint POS Tagging and Transition-based Constituent Parsing in Chinese with Non-local Features Zhiguo Wang and Nianwen Xue | |
| Strategies for Contiguous Multiword Expression Analysis and Dependency Parsing Marie Candito and Matthieu Constant | |
| Correcting Preposition Errors in Learner English Using Error Case Frames and Feedback Messages Ryo Nagata, Mikko Vilenius and Edward Whittaker | |
Tuesday, June 24, 2014 | |
| 7:30–18:00 | Registration |
| 7:30–9:00 | Breakfast |
| 9:00–10:00 | Invited talk II: Zoran Popović Text Generation for Infinitely Adaptable Curricula |
| 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 |
| 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 |
| Session 4D: Summarization | |
| 10:30–10:55 | Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization 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 Skjærholt |
| 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 |
| Session 5B: Information Extraction III | |
| 13:30–13:55 | Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Motoki Sano, István Varga, Jong-Hoon Oh and Yutaka Kidawara |
| 13:55–14:20 | Cross-narrative Temporal Ordering of Medical Events Preethi Raghavan, Eric Fosler-Lussier, Noémie 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 |
| 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 Translation Junhui Li, Yuval Marton, Philip Resnik and Hal Daumé III | |
| Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors Rui Yan, Mingkun Gao, Ellie Pavlick and Chris Callison-Burch | |
| A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney Smoothing Rene Pickhardt, Thomas Gottron, Martin Körner, 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 Filippova | |
| Automatic Keyphrase Extraction: A Survey of the State of the Art Kazi Saidul Hasan and Vincent Ng | |
| Pattern Dictionary of English Prepositions Ken Litkowski | |
| Looking at Unbalanced Specialized Comparable Corpora for Bilingual Lexicon Extraction 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 Navigli | |
| Shallow Analysis Based Assessment of Syntactic Complexity for Automated Speech Scoring 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 |
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 Schütze |
| 11:35–12:00 | Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual 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 |
| 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 Daumé 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 |
| 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 |