Conference program for EMNLP 2015
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- Conference handbook
- Program at a glance
- Program overview for the main conference
- Full program for the main conference
- Program for workshops and tutorials
Program at a glance
Program overview
Saturday, 19 September
08:00–08:40Morning coffee (foyer)08:40–09:00Opening remarks (room 2)09:00–10:00Invited Talk : Yoshua Bengio (main auditorium)10:00–10:30Coffee Break (foyer)10:30–12:10Parallel Sessions- Semantics I (main auditorium)
- Machine Translation I (small auditorium)
- NLP for the Web and Social Media, including Computational Social Science (room 2)
- Long paper posters I (lower level foyer)
- Short paper posters I (lower level foyer )
12:10–13:30Lunch Break13:30–15:10Parallel Sessions- Statistical Models and Machine Learning Methods I (main auditorium)
- Tagging, Chunking and Parsing I (small auditorium)
- Summarization (room 2)
- Long paper posters II (lower level foyer)
- Short paper posters II (lower level foyer)
15:10–15:40Coffee Break (foyer)15:40–17:20Parallel Sessions- Sentiment Analysis & Opinion Mining I (main auditorium)
- Semantics II (small auditorium)
- Information Retrieval and Question Answering (room 2)
- Long paper + TACL paper posters III (lower level foyer)
- Short paper posters III (lower level foyer)
Sunday, 20 September
08:00–09:00Morning coffee (foyer)09:00–10:00Invited Talk : Justin Grimmer (main auditorium)10:00–10:30Coffee Break (foyer)10:30–12:10Parallel Sessions- Information Extraction I (main auditorium)
- Statistical Models and Machine Learning Methods II (small auditorium)
- Discourse (room 2)
- Long paper posters IV (lower level foyer)
- Short paper posters IV (lower level foyer)
12:10–12:50Lunch Break12:50–13:30SIGDAT business meeting (main auditorium)13:30–15:10Parallel Sessions- Text Mining and NLP Applications I (main auditorium)
- Semantics III (small auditorium)
- Phonology and Word Segmentation (room 2)
- Long paper posters V (lower level foyer)
- Short paper posters V (lower level foyer)
15:10–15:40Coffee Break (foyer)15:40–17:20Parallel Sessions- Machine Translation II (main auditorium)
- Sentiment Analysis and Opinion Mining II / Tagging, Chunking and Parsing II (small auditorium)
- Language and Vision / Information Extraction II (room 2)
- Long paper posters VI (lower level foyer)
- Short paper posters VI (lower level foyer)
19:00–23:00Conference Dinner
Monday, 21 September
08:00–09:00Morning coffee (foyer)09:00–10:00Best Papers (main auditorium)10:00–10:30Coffee Break (foyer)10:30–12:10Parallel Sessions- Semantics IV (main auditorium)
- Information Extraction III (small auditorium)
- Computational Psycholingustics / Machine Translation III (room 2)
- Long paper / TACL paper posters VII (lower level foyer)
- Short paper posters VII (lower level foyer)
12:10–13:30Lunch Break13:30–15:15Parallel Sessions- Fun and quirky topics (short papers) (main auditorium)
- Semantics V (short papers) (small auditorium)
- Statistical Models and Machine Learning Methods / Machine Translation (short papers) (room 2)
- Long paper posters VIII (lower level foyer)
- Short paper posters VIII (lower level foyer)
15:15–15:40Coffee Break (foyer)15:40–17:20Parallel Sessions- Statistical Models and Machine Learning Methods III (main auditorium)
- Text Mining and NLP Applications II (small auditorium)
- Spoken Language Processing and Language Modeling (room 2)
- Long paper posters IX (lower level foyer)
- Short paper posters IX (lower level foyer)
17:20–17:30Coffee Break (foyer)17:30–17:50Closing Session (room 2)18:30–21:00Farewell Reception (foyer)
Full conference program
| Friday, September 18, 2015 | |
| 18:30–20:00 | Welcome Reception |
| Saturday, September 19, 2015 | |
| 07:30–18:00 | Registration |
| 08:00–08:40 | Morning coffee |
| 08:40–10:00 | Session P1: Plenary Session |
| 08:40–09:00 | Opening Remarks and Introductory Speeches General Chair, Program Co-Chairs and Local Co-Chairs |
| 09:00–10:00 | Invited Talk: Deep Learning of Semantic Representations Yoshua Bengio |
| 10:00–10:30 | Coffee break |
| 10:30–12:10 | Session 1A: Semantics (Long + TACL Papers) Main Auditorium Chair: Yoav Artzi |
| 10:30–10:55 | Language Understanding for Text-based Games using Deep Reinforcement Learning Karthik Narasimhan, Tejas Kulkarni and Regina Barzilay |
| 10:55–11:20 | Distributional vectors encode referential attributes Abhijeet Gupta, Gemma Boleda, Marco Baroni and Sebastian Padó |
| 11:20–11:45 | Building a shared world: mapping distributional to model-theoretic semantic spaces Aurélie Herbelot and Eva Maria Vecchi |
| 11:45–12:10 | [TACL] Deriving Boolean Structures from Distributional Vectors Germán Kruszewski, Denis Paperno and Marco Baroni |
| 10:30–12:10 | Session 1B: Machine Translation (Long + TACL Papers) Small Auditorium Chair: John DeNero |
| 10:30–10:55 | Dependency Graph-to-String Translation Liangyou Li, Andy Way and Qun Liu |
| 10:55–11:20 | Reordering Grammar Induction Miloš Stanojević and Khalil Sima’an |
| 11:20–11:45 | Syntax-based Rewriting for Simultaneous Machine Translation He He, Alvin Grissom II, John Morgan, Jordan Boyd-Graber and Hal Daumé III |
| 11:45–12:10 | [TACL] Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation Rico Sennrich |
| 10:30–12:10 | Session 1C: NLP for the Web and Social Media, including Computational Social Science (Long Papers) Room 2 Chair: Brendan O'Connor |
| 10:30–10:55 | Identifying Political Sentiment between Nation States with Social Media Nathanael Chambers, Victor Bowen, Ethan Genco, Xisen Tian, Eric Young, Ganesh Harihara and Eugene Yang |
| 10:55–11:20 | Open Extraction of Fine-Grained Political Statements David Bamman and Noah A. Smith |
| 11:20–11:45 | Using Personal Traits For Brand Preference Prediction Chao Yang, Shimei Pan, Jalal Mahmud, Huahai Yang and Padmini Srinivasan |
| 11:45–12:10 | Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information Tuan Tran, Nam Khanh Tran, Asmelash Teka Hadgu and Robert Jäschke |
| 10:30–12:10 | Session 1D (P1-4): Summarization (Long Paper Posters) Lower Level Foyer Chair: Saif Mohammad |
| System Combination for Multi-document Summarization Kai Hong, Mitchell Marcus and Ani Nenkova | |
| Phrase-based Compressive Cross-Language Summarization Jin-ge Yao, Xiaojun Wan and Jianguo Xiao | |
| Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE Yvette Graham | |
| Indicative Tweet Generation: An Extractive Summarization Problem? Priya Sidhaye and Jackie Chi Kit Cheung | |
| 10:30–12:10 | Session 1D (P5): Language and Vision (Long Paper Posters) Lower Level Foyer Chair: Saif Mohammad |
| Visual Bilingual Lexicon Induction with Transferred ConvNet Features Douwe Kiela, Ivan Vulić and Stephen Clark | |
| 10:30–12:10 | Session 1D (P6-9): Sentiment Analysis and Opinion Mining (Long Paper Posters) Lower Level Foyer Chair: Saif Mohammad |
| Cross Lingual Sentiment Analysis using Modified BRAE Sarthak Jain and Shashank Batra | |
| Monotone Submodularity in Opinion Summaries Jayanth Jayanth, Jayaprakash Sundararaj and Pushpak Bhattacharyya | |
| Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models Lingjia Deng and Janyce Wiebe | |
| Learning to Recognize Affective Polarity in Similes Ashequl Qadir, Ellen Riloff and Marilyn Walker | |
| 10:30–12:10 | Session 1E (P1-3): Language and Vision (Short Paper Posters) Lower Level Foyer Chair: Kevin Duh |
| Cross-document Event Coreference Resolution based on Cross-media Features Tongtao Zhang, Hongzhi Li, Heng Ji and Shih-Fu Chang | |
| A Survey of Current Datasets for Vision and Language Research Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley and Margaret Mitchell | |
| Combining Geometric, Textual and Visual Features for Predicting Prepositions in Image Descriptions Arnau Ramisa, Josiah Wang, Ying Lu, Emmanuel Dellandrea, Francesc Moreno-Noguer and Robert Gaizauskas | |
| 10:30–12:10 | Session 1E (P4-16): Statistical Models and Machine Learning Methods (Short Paper Posters) Lower Level Foyer Chair: Kevin Duh |
| On A Strictly Convex IBM Model 1 Andrei Simion, Michael Collins and Cliff Stein | |
| Factorization of Latent Variables in Distributional Semantic Models Arvid Österlund, David Ödling and Magnus Sahlgren | |
| Non-lexical neural architecture for fine-grained POS Tagging Matthieu Labeau, Kevin Löser and Alexandre Allauzen | |
| Online Representation Learning in Recurrent Neural Language Models Marek Rei | |
| A Model of Zero-Shot Learning of Spoken Language Understanding Majid Yazdani and James Henderson | |
| Modeling Tweet Arrival Times using Log-Gaussian Cox Processes Michal Lukasik, P. K. Srijith, Trevor Cohn and Kalina Bontcheva | |
| Pre-Computable Multi-Layer Neural Network Language Models Jacob Devlin, Chris Quirk and Arul Menezes | |
| Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors Weiwei Yang, Jordan Boyd-Graber and Philip Resnik | |
| Aligning Knowledge and Text Embeddings by Entity Descriptions Huaping Zhong, Jianwen Zhang, Zhen Wang, Hai Wan and Zheng Chen | |
| An Empirical Analysis of Optimization for Max-Margin NLP Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick and Dan Klein | |
| Learning Better Embeddings for Rare Words Using Distributional Representations Irina Sergienya and Hinrich Schütze | |
| Composing Relationships with Translations Alberto Garcia-Duran, Antoine Bordes and Nicolas Usunier | |
| Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks. Emily Jamison and Iryna Gurevych | |
| 12:10–13:30 | Lunch |
| 13:30–15:10 | Session 2A: Statistical Models and Machine Learning Methods (Long + TACL Papers) Main Auditorium Chair: Alex Klementiev |
| 13:30–13:55 | Evaluation methods for unsupervised word embeddings Tobias Schnabel, Igor Labutov, David Mimno and Thorsten Joachims |
| 13:55–14:20 | Efficient Methods for Incorporating Knowledge into Topic Models Yi Yang, Doug Downey and Jordan Boyd-Graber |
| 14:20–14:45 | Traversing Knowledge Graphs in Vector Space Kelvin Guu, John Miller and Percy Liang |
| 14:45–15:10 | [TACL] Improving Topic Models with Latent Feature Word Representations Dat Quoc Nguyen, Richard Billingsley, Lan Du and Mark Johnson |
| 13:30–15:10 | Session 2B: Tagging, Chunking and Parsing (Long +TACL Papers) Small Auditorium Chair: Eugene Charniak |
| 13:30–13:55 | Density-Driven Cross-Lingual Transfer of Dependency Parsers Mohammad Sadegh Rasooli and Michael Collins |
| 13:55–14:20 | A Neural Network Model for Low-Resource Universal Dependency Parsing Long Duong, Trevor Cohn, Steven Bird and Paul Cook |
| 14:20–14:45 | Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs Miguel Ballesteros, Chris Dyer and Noah A. Smith |
| 14:45–15:10 | [TACL] Approximation-Aware Dependency Parsing by Belief Propagation Matthew R. Gormley, Mark Dredze and Jason Eisner |
| 13:30–15:10 | Session 2C: Summarization (Long Papers) Room 2 Chair: Yvette Graham |
| 13:30–13:55 | Sentence Compression by Deletion with LSTMs Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, Lukasz Kaiser and Oriol Vinyals |
| 13:55–14:20 | An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering Jiangming Liu and Yue Zhang |
| 14:20–14:45 | A Neural Attention Model for Abstractive Sentence Summarization Alexander M. Rush, Sumit Chopra and Jason Weston |
| 14:45–15:10 | Scientific Article Summarization Using Citation-Context and Article’s Discourse Structure Arman Cohan and Nazli Goharian |
| 13:30–15:10 | Session 2D (P1-9): Text Mining and NLP Applications (Long Paper Posters) Lower Level Foyer Chair: Nate Chambers |
| Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags Yeyun Gong, Qi Zhang and Xuanjing Huang | |
| A Graph-based Readability Assessment Method using Word Coupling Zhiwei Jiang, Gang Sun, Qing Gu, Tao Bai and Daoxu Chen | |
| More Features Are Not Always Better: Evaluating Generalizing Models in Incident Type Classification of Tweets Axel Schulz, Christian Guckelsberger and Benedikt Schmidt | |
| Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression Peter Phandi, Kian Ming A. Chai and Hwee Tou Ng | |
| Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection Ruty Rinott, Lena Dankin, Carlos Alzate Perez, Mitesh M. Khapra, Ehud Aharoni and Noam Slonim | |
| Spelling Correction of User Search Queries through Statistical Machine Translation Saša Hasan, Carmen Heger and Saab Mansour | |
| Human Evaluation of Grammatical Error Correction Systems Roman Grundkiewicz, Marcin Junczys-Dowmunt and Edward Gillian | |
| Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander Ororbia II, C. Lee Giles and David Reitter | |
| Joint Embedding of Query and Ad by Leveraging Implicit Feedback Sungjin Lee and Yifan Hu | |
| 13:30–15:10 | Session 2E (P1-11): Information Extraction (Short Paper Posters) Lower Level Foyer Chair: Wei Lu |
| Automatic Extraction of Time Expressions Accross Domains in French Narratives Mike Donald Tapi Nzali, Xavier Tannier and Aurelie Neveol | |
| Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics David S. Batista, Bruno Martins and Mário J. Silva | |
| Extraction and generalisation of variables from scientific publications Erwin Marsi and Pinar Öztürk | |
| Named entity recognition with document-specific KB tag gazetteers Will Radford, Xavier Carreras and James Henderson | |
| "A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History Derry Tanti Wijaya, Ndapandula Nakashole and Tom Mitchell | |
| Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists Lidong Bing, Sneha Chaudhari, Richard Wang and William Cohen | |
| An Entity-centric Approach for Overcoming Knowledge Graph Sparsity Manjunath Hegde and Partha P. Talukdar | |
| Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling Kun Xu, Yansong Feng, Songfang Huang and Dongyan Zhao | |
| A Baseline Temporal Tagger for all Languages Jannik Strötgen and Michael Gertz | |
| Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings Nanyun Peng and Mark Dredze | |
| Inferring Binary Relation Schemas for Open Information Extraction Kangqi Luo, Xusheng Luo and Kenny Zhu | |
| 13:30–15:10 | Session 2E (P12-16): Information Retrieval and Question Answering (Short Paper Posters) Lower Level Foyer Chair: Wei Lu |
| LDTM: A Latent Document Type Model for Cumulative Citation Recommendation Jingang Wang, Dandan Song, Zhiwei Zhang, Lejian Liao, Luo Si and Chin-Yew Lin | |
| Online Sentence Novelty Scoring for Topical Document Streams Sungjin Lee | |
| Global Thread-level Inference for Comment Classification in Community Question Answering Shafiq Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti and Preslav Nakov | |
| Key Concept Identification for Medical Information Retrieval Jiaping Zheng and Hong Yu | |
| Image-Mediated Learning for Zero-Shot Cross-Lingual Document Retrieval Ruka Funaki and Hideki Nakayama | |
| 15:10–15:40 | Coffee break |
| 15:40–17:20 | Session 3A: Sentiment Analysis and Opinion Mining (Long Papers) Main Auditorium Chair: Janyce Wiebe |
| 15:40–16:05 | Detecting Risks in the Banking System by Sentiment Analysis Clemens Nopp and Allan Hanbury |
| 16:05–16:30 | Sentiment Flow - A General Model of Web Review Argumentation Henning Wachsmuth, Johannes Kiesel and Benno Stein |
| 16:30–16:55 | Neural Networks for Open Domain Targeted Sentiment Meishan Zhang, Yue Zhang and Duy Tin Vo |
| 16:55–17:20 | Extracting Condition-Opinion Relations Toward Fine-grained Opinion Mining Yuki Nakayama and Atsushi Fujii |
| 15:40–17:20 | Session 3B: Semantics (Long +TACL Papers) Small Auditorium Chair: Regina Barzilay |
| 15:40–16:05 | A large annotated corpus for learning natural language inference Samuel R. Bowman, Gabor Angeli, Christopher Potts and Christopher D. Manning |
| 16:05–16:30 | Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language Luheng He, Mike Lewis and Luke Zettlemoyer |
| 16:30–16:55 | [TACL] It’s All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation. David Jurgens and Roberto Navigli |
| 16:55–17:20 | [TACL] Semantic Proto-Roles Drew Reisinger, Rachel Rudinger, Francis Ferraro, Kyle Rawlins and Benjamin Van Durme |
| 15:40–17:20 | Session 3C: Information Retrieval and Question Answering (Long Papers) Room 2 Chair: Scott Wen-tau Yih |
| 15:40–16:05 | Name List Only? Target Entity Disambiguation in Short Texts Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji and Jie Tang |
| 16:05–16:30 | Biography-Dependent Collaborative Entity Archiving for Slot Filling Yu Hong, Xiaobin Wang, Yadong Chen, Jian Wang, Tongtao Zhang and Heng Ji |
| 16:30–16:55 | Stochastic Top-k ListNet Tianyi Luo, Dong Wang, Rong Liu and Yiqiao Pan |
| 16:55–17:20 | Exploring Markov Logic Networks for Question Answering Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark and Oren Etzioni |
| 15:40–17:20 | Session 3D (P1-9): Information Extraction (Long + TACL Paper Posters) Lower Level Foyer Chair: Einat Minkov |
| Language and Domain Independent Entity Linking with Quantified Collective Validation Han Wang, Jin Guang Zheng, Xiaogang Ma, Peter Fox and Heng Ji | |
| Modeling Relation Paths for Representation Learning of Knowledge Bases Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao and Song Liu | |
| Corpus-level Fine-grained Entity Typing Using Contextual Information Yadollah Yaghoobzadeh and Hinrich Schütze | |
| Knowledge Base Unification via Sense Embeddings and Disambiguation Claudio Delli Bovi, Luis Espinosa Anke and Roberto Navigli | |
| Open-Domain Name Error Detection using a Multi-Task RNN Hao Cheng, Hao Fang and Mari Ostendorf | |
| Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning Isabelle Augenstein, Andreas Vlachos and Diana Maynard | |
| Sieve-Based Spatial Relation Extraction with Expanding Parse Trees Jennifer D’Souza and Vincent Ng | |
| [TACL] Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment Sourav Dutta and Gerhard Weikum | |
| [TACL] Combining Minimally-supervised Methods for Arabic Named Entity Recognition Maha Althobaiti, Udo Kruschwitz and Massimo Poesio | |
| 15:40–17:20 | Session 3E (P1-13): Text Mining and NLP Applications (Short Paper Posters) Lower Level Foyer Chair: Wei Xu |
| Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On The Difficulty of Detecting Characters in Literary Texts Hardik Vala, David Jurgens, Andrew Piper and Derek Ruths | |
| Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization Jonghoon Kim, Francois Rousseau and Michalis Vazirgiannis | |
| Predicting the Structure of Cooking Recipes Jermsak Jermsurawong and Nizar Habash | |
| TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering Linmei Hu, Juanzi Li, Xiaoli Li, Chao Shao and Xuzhong Wang | |
| Sentence Modeling with Gated Recursive Neural Network Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Shiyu Wu and Xuanjing Huang | |
| Learning Timeline Difference for Text Categorization Fumiyo Fukumoto and Yoshimi Suzuki | |
| Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis Sun Kim, Lana Yeganova and W John Wilbur | |
| Recognizing Biographical Sections in Wikipedia Alessio Palmero Aprosio and Sara Tonelli | |
| Learn to Solve Algebra Word Problems Using Quadratic Programming Lipu Zhou, Shuaixiang Dai and Liwei Chen | |
| An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text Abdul Rafae, Abdul Qayyum, Muhammad Moeenuddin, Asim Karim, Hassan Sajjad and Faisal Kamiran | |
| Component-Enhanced Chinese Character Embeddings Yanran Li, Wenjie Li, Fei Sun and Sujian Li | |
| Multi-label Text Categorization with Joint Learning Predictions-as-Features Method Li Li, Houfeng Wang, Xu Sun, Baobao Chang, Shi Zhao and Lei Sha | |
| A Framework for Comparing Groups of Documents Arun Maiya | |
| Sunday, September 20, 2015 | |
| 07:30–18:00 | Registration |
| 08:00–09:00 | Morning coffee |
| 09:00–10:00 | Session P2: Plenary Session |
| Invited Talk: Measuring How Elected Officials and Constituents Communicate Justin Grimmer | |
| 10:00–10:30 | Coffee break |
| 10:30–12:10 | Session 4A: Information Extraction (Long Papers) Main Auditorium Chair: Heng Ji |
| 10:30–10:55 | C3EL: A Joint Model for Cross-Document Co-Reference Resolution and Entity Linking Sourav Dutta and Gerhard Weikum |
| 10:55–11:20 | Joint Mention Extraction and Classification with Mention Hypergraphs Wei Lu and Dan Roth |
| 11:20–11:45 | FINET: Context-Aware Fine-Grained Named Entity Typing Luciano Del Corro, Abdalghani Abujabal, Rainer Gemulla and Gerhard Weikum |
| 11:45–12:10 | Joint Entity Recognition and Disambiguation Gang Luo, Xiaojiang Huang, Chin-Yew Lin and Zaiqing Nie |
| 10:30–12:10 | Session 4B: Statistical Models and Machine Learning Methods (Long Papers) Small Auditorium Chair: Chris Dyer |
| 10:30–10:55 | How Much Information Does a Human Translator Add to the Original? Barret Zoph, Marjan Ghazvininejad and Kevin Knight |
| 10:55–11:20 | Hierarchical Recurrent Neural Network for Document Modeling Rui Lin, Shujie Liu, Muyun Yang, Mu Li, Ming Zhou and Sheng Li |
| 11:20–11:45 | Auto-Sizing Neural Networks: With Applications to n-gram Language Models Kenton Murray and David Chiang |
| 11:45–12:10 | Dual Decomposition Inference for Graphical Models over Strings Nanyun Peng, Ryan Cotterell and Jason Eisner |
| 10:30–12:10 | Session 4C: Discourse (Long +TACL Papers) Room 2 Chair: Pascal Denis |
| 10:30–10:55 | Discourse parsing for multi-party chat dialogues Stergos Afantenos, Eric Kow, Nicholas Asher and Jérémy Perret |
| 10:55–11:20 | Joint prediction in MST-style discourse parsing for argumentation mining Andreas Peldszus and Manfred Stede |
| 11:20–11:45 | [TACL] One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations Yangfeng Ji and Jacob Eisenstein |
| 11:45–12:10 | [TACL] Latent Structures for Coreference Resolution Sebastian Martschat and Michael Strube |
| 10:30–12:10 | Session 4D (P1-8): Semantics (Long Paper Posters) Lower Level Foyer Chair: Sam Bowman |
| Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment Md Arafat Sultan, Steven Bethard and Tamara Sumner | |
| Semantic Role Labeling with Neural Network Factors Nicholas FitzGerald, Oscar Täckström, Kuzman Ganchev and Dipanjan Das | |
| RELLY: Inferring Hypernym Relationships Between Relational Phrases Adam Grycner, Gerhard Weikum, Jay Pujara, James Foulds and Lise Getoor | |
| Mise en Place: Unsupervised Interpretation of Instructional Recipes Chloé Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer and Yejin Choi | |
| Semantic Framework for Comparison Structures in Natural Language Omid Bakhshandeh and James Allen | |
| Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words Debanjan Ghosh, Weiwei Guo and Smaranda Muresan | |
| Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction Tuan Luu Anh, Jung-jae Kim and See Kiong Ng | |
| Learning to Automatically Solve Logic Grid Puzzles Arindam Mitra and Chitta Baral | |
| 10:30–12:10 | Session 4E (P1-13): Machine Translation and Multilinguality (Short Paper Posters) Lower Level Foyer Chair: Maja Popovic |
| Improving fast_align by Reordering Chenchen Ding, Masao Utiyama and Eiichiro Sumita | |
| Touch-Based Pre-Post-Editing of Machine Translation Output Benjamin Marie and Aurélien Max | |
| A Discriminative Training Procedure for Continuous Translation Models Quoc-Khanh DO, Alexandre Allauzen and François Yvon | |
| System Combination for Machine Translation through Paraphrasing Wei-Yun Ma and Kathleen McKeown | |
| Hierarchical Incremental Adaptation for Statistical Machine Translation Joern Wuebker, Spence Green and John DeNero | |
| ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks Rohit Gupta, Constantin Orasan and Josef van Genabith | |
| Investigating Continuous Space Language Models for Machine Translation Quality Estimation Kashif Shah, Raymond W. M. Ng, Fethi Bougares and Lucia Specia | |
| Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages Tomer Levinboim and David Chiang | |
| Translation Invariant Word Embeddings Kejun Huang, Matt Gardner, Evangelos Papalexakis, Christos Faloutsos, Nikos Sidiropoulos, Tom Mitchell, Partha P. Talukdar and Xiao Fu | |
| Hierarchical Phrase-based Stream Decoding Andrew Finch, Xiaolin Wang, Masao Utiyama and Eiichiro Sumita | |
| Rule Selection with Soft Syntactic Features for String-to-Tree Statistical Machine Translation Fabienne Braune, Nina Seemann and Alexander Fraser | |
| Motivating Personality-aware Machine Translation Shachar Mirkin, Scott Nowson, Caroline Brun and Julien Perez | |
| Trans-gram, Fast Cross-lingual Word-embeddings Jocelyn Coulmance, Jean-Marc Marty, Guillaume Wenzek and Amine Benhalloum | |
| 10:30–12:10 | Session 4E (P14-16): Computational Psycholinguistics (Short Paper Posters) Lower Level Foyer Chair: Maja Popovic |
| The Overall Markedness of Discourse Relations Lifeng Jin and Marie-Catherine de Marneffe | |
| Experiments in Open Domain Deception Detection Verónica Pérez-Rosas and Rada Mihalcea | |
| A model of rapid phonotactic generalization Tal Linzen and Timothy O’Donnell | |
| 12:10–12:50 | Lunch |
| 12:50–13:30 | Session P3: SIGDAT business meeting |
| 13:30–15:10 | Session 5A: Text Mining and NLP Applications (Long + TACL Papers) Main Auditorium Chair: Marie-Francine Moens |
| 13:30–13:55 | [TACL] Unsupervised Identification of Translationese Ella Rabinovich and Shuly Wintner |
| 13:55–14:20 | Automatically Solving Number Word Problems by Semantic Parsing and Reasoning Shuming Shi, Yuehui Wang, Chin-Yew Lin, Xiaojiang Liu and Yong Rui |
| 14:20–14:45 | [TACL] Which Step Do I Take First? Troubleshooting with Bayesian Models Annie Louis and Mirella Lapata |
| 14:45–15:10 | [TACL] Problems in Current Text Simplification Research: New Data Can Help Wei Xu, Chris Callison-Burch and Courtney Napoles |
| 13:30–15:10 | Session 5B: Semantics (Long +TACL Papers) Small Auditorium Chair: Benjamin Van Durme |
| 13:30–13:55 | Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu and Jonathan May |
| 13:55–14:20 | The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization Phong Le and Willem Zuidema |
| 14:20–14:45 | Alignment-Based Compositional Semantics for Instruction Following Jacob Andreas and Dan Klein |
| 14:45–15:10 | [TACL] Context-aware Frame-Semantic Role Labeling Michael Roth and Mirella Lapata |
| 13:30–15:10 | Session 5C: Phonology and Word Segmentation (Long Papers) Room 2 Chair: Chengqing Zong |
| 13:30–13:55 | Do we need bigram alignment models? On the effect of alignment quality on transduction accuracy in G2P Steffen Eger |
| 13:55–14:20 | Keyboard Logs as Natural Annotations for Word Segmentation Fumihiko Takahasi and Shinsuke Mori |
| 14:20–14:45 | Long Short-Term Memory Neural Networks for Chinese Word Segmentation Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu and Xuanjing Huang |
| 14:45–15:10 | Semi-supervised Chinese Word Segmentation based on Bilingual Information Wei Chen and Bo Xu |
| 13:30–15:10 | Session 5D (P1-8): Machine Translation and Multilinguality (Long Paper Posters) Lower Level Foyer Chair: Boxing Chen |
| Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model Hidetaka Kamigaito, Taro Watanabe, Hiroya Takamura, Manabu Okumura and Eiichiro Sumita | |
| Consistency-Aware Search for Word Alignment Shiqi Shen, Yang Liu, Maosong Sun and Huanbo Luan | |
| Graph-Based Collective Lexical Selection for Statistical Machine Translation Jinsong Su, Deyi Xiong, Shujian Huang, Xianpei Han and Junfeng Yao | |
| Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation Jinsong Su, Deyi Xiong, Biao Zhang, Yang Liu, Junfeng Yao and Min Zhang | |
| How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models Shafiq Joty, Hassan Sajjad, Nadir Durrani, Kamla Al-Mannai, Ahmed Abdelali and Stephan Vogel | |
| Detecting Content-Heavy Sentences: A Cross-Language Case Study Junyi Jessy Li and Ani Nenkova | |
| Search-Aware Tuning for Hierarchical Phrase-based Decoding Feifei Zhai, Liang Huang and Kai Zhao | |
| Part-of-speech Taggers for Low-resource Languages using CCA Features Young-Bum Kim, Benjamin Snyder and Ruhi Sarikaya | |
| 13:30–15:10 | Session 5E (P1-12): Tagging, Syntax and Parsing (Short Paper Posters) Lower Level Foyer Chair: Stephen Clark |
| An Improved Tag Dictionary for Faster Part-of-Speech Tagging Robert Moore | |
| Improving Arabic Diacritization through Syntactic Analysis Anas Shahrour, Salam Khalifa and Nizar Habash | |
| Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing Meishan Zhang and Yue Zhang | |
| Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing Xuezhe Ma and Eduard Hovy | |
| Online Updating of Word Representations for Part-of-Speech Tagging Wenpeng Yin, Tobias Schnabel and Hinrich Schütze | |
| Empty Category Detection using Path Features and Distributed Case Frames Shunsuke Takeno, Masaaki Nagata and Kazuhide Yamamoto | |
| Foreebank: Syntactic Analysis of Customer Support Forums Rasoul Kaljahi, Jennifer Foster, Johann Roturier, Corentin Ribeyre, Teresa Lynn and Joseph Le Roux | |
| Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data Eliyahu Kiperwasser and Yoav Goldberg | |
| Improved Transition-Based Parsing and Tagging with Neural Networks Chris Alberti, David Weiss, Greg Coppola and Slav Petrov | |
| Syntactic Parse Fusion Do Kook Choe, David McClosky and Eugene Charniak | |
| Not All Contexts Are Created Equal: Better Word Representations with Variable Attention Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramon Fermandez, Chris Dyer, Alan W Black, Isabel Trancoso and Chu-Cheng Lin | |
| An Improved Non-monotonic Transition System for Dependency Parsing Matthew Honnibal and Mark Johnson | |
| 15:10–15:40 | Coffee break |
| 15:40–17:20 | Session 6A: Machine Translation (Long Papers) Main Auditorium Chair: Lucia Specia |
| 15:40–16:05 | Improving Statistical Machine Translation with a Multilingual Paraphrase Database Ramtin Mehdizadeh Seraj, Maryam Siahbani and Anoop Sarkar |
| 16:05–16:30 | Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation Xing Wang, Deyi Xiong and Min Zhang |
| 16:30–16:55 | A Comparison between Count and Neural Network Models Based on Joint Translation and Reordering Sequences Andreas Guta, Tamer Alkhouli, Jan-Thorsten Peter, Joern Wuebker and Hermann Ney |
| 16:55–17:20 | Effective Approaches to Attention-based Neural Machine Translation Thang Luong, Hieu Pham and Christopher D. Manning |
| 15:40–17:20 | Session 6B: Sentiment Analysis and Opinion Mining / Tagging, Chunking and Parsing (Long Papers) Small Auditorium Chairs: Bing Liu and Dan Bikel |
| 15:40–16:05 | Document Modeling with Gated Recurrent Neural Network for Sentiment Classification Duyu Tang, Bing Qin and Ting Liu |
| 16:05–16:30 | Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings Pengfei Liu, Shafiq Joty and Helen Meng |
| 16:30–16:55 | Joint A* CCG Parsing and Semantic Role Labelling Mike Lewis, Luheng He and Luke Zettlemoyer |
| 16:55–17:20 | Improving Semantic Parsing with Enriched Synchronous Context-Free Grammar Junhui Li, Muhua Zhu, Wei Lu and Guodong Zhou |
| 15:40–17:20 | Session 6C: Language and Vision / Information Extraction (Long Papers) Room 2 Chairs: Meg Mitchell and Zhiyuan Liu |
| 15:40–16:05 | Solving Geometry Problems: Combining Text and Diagram Interpretation Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni and Clint Malcolm |
| 16:05–16:30 | Do You See What I Mean? Visual Resolution of Linguistic Ambiguities Yevgeni Berzak, Andrei Barbu, Daniel Harari, Boris Katz and Shimon Ullman |
| 16:30–16:55 | Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction Matt Gardner and Tom Mitchell |
| 16:55–17:20 | Representing Text for Joint Embedding of Text and Knowledge Bases Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury and Michael Gamon |
| 15:40–17:20 | Session 6D (P1-10): Statistical Models and Machine Learning Methods (Long Paper Posters) Lower Level Foyer Chair: Noah Smith |
| A Utility Model of Authors in the Scientific Community Yanchuan Sim, Bryan Routledge and Noah A. Smith | |
| Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation Wang Ling, Chris Dyer, Alan W Black, Isabel Trancoso, Ramon Fermandez, Silvio Amir, Luis Marujo and Tiago Luis | |
| Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning Jianpeng Cheng and Dimitri Kartsaklis | |
| Conversation Trees: A Grammar Model for Topic Structure in Forums Annie Louis and Shay B. Cohen | |
| Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans and Richard Jean So | |
| Molding CNNs for text: non-linear, non-consecutive convolutions Tao Lei, Regina Barzilay and Tommi Jaakkola | |
| Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks Hua He, Kevin Gimpel and Jimmy Lin | |
| Posterior calibration and exploratory analysis for natural language processing models Khanh Nguyen and Brendan O’Connor | |
| A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution Shaohua Li, Jun Zhu and Chunyan Miao | |
| Reading Documents for Bayesian Online Change Point Detection Taehoon Kim and Jaesik Choi | |
| 15:40–17:20 | Session 6E (P1-13): Semantics (Short Paper Posters) Lower Level Foyer Chair: Ido Dagan |
| Recognizing Textual Entailment Using Probabilistic Inference Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui and Tingsong Jiang | |
| Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks Zhen Wang, Tingsong Jiang, Baobao Chang and Zhifang Sui | |
| Unsupervised Negation Focus Identification with Word-Topic Graph Model Bowei Zou, Guodong Zhou and Qiaoming Zhu | |
| Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds Corina Dima | |
| Event Detection and Factuality Assessment with Non-Expert Supervision Kenton Lee, Yoav Artzi, Yejin Choi and Luke Zettlemoyer | |
| Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity Julien Kloetzer, Kentaro Torisawa, Chikara Hashimoto and Jong-Hoon Oh | |
| Context-Dependent Knowledge Graph Embedding Yuanfei Luo, Quan Wang, Bin Wang and Li Guo | |
| Learning to Identify the Best Contexts for Knowledge-based WSD Evgenia Wasserman Pritsker, William Cohen and Einat Minkov | |
| Measuring Prerequisite Relations Among Concepts Chen Liang, Zhaohui Wu, Wenyi Huang and C. Lee Giles | |
| Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages Nut Limsopatham and Nigel Collier | |
| Script Induction as Language Modeling Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro and Benjamin Van Durme | |
| Online Learning of Interpretable Word Embeddings Hongyin Luo, Zhiyuan Liu, Huanbo Luan and Maosong Sun | |
| A Strong Lexical Matching Method for the Machine Comprehension Test Ellery Smith, Nicola Greco, Matko Bosnjak and Andreas Vlachos | |
| 19:00–23:00 | Conference Dinner |
| Monday, September 21, 2015 | |
| 07:30–18:00 | Registration |
| 08:00–09:00 | Morning coffee |
| 09:00–10:00 | Session P4: Plenary Session |
| 09:00–09:05 | Best Paper Awards Chris Callison-Burch and Jian Su |
| 09:05–09:30 | Broad-coverage CCG Semantic Parsing with AMR Yoav Artzi, Kenton Lee and Luke Zettlemoyer |
| 09:30–09:55 | Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Pei-Hao Su, David Vandyke and Steve Young |
| 09:55–10:05 | A large annotated corpus for learning natural language inference Samuel R. Bowman, Gabor Angeli, Christopher Potts and Christopher D. Manning |
| 10:05–10:30 | Coffee break |
| 10:30–12:10 | Session 7A: Semantics (Long +TACL Papers) Main Auditorium Chair: Luke Zettlemoyer |
| 10:30–10:55 | Do Multi-Sense Embeddings Improve Natural Language Understanding? Jiwei Li and Dan Jurafsky |
| 10:55–11:20 | Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions Majid Yazdani, Meghdad Farahmand and James Henderson |
| 11:20–11:45 | Solving General Arithmetic Word Problems Subhro Roy and Dan Roth |
| 11:45–12:10 | [TACL] From Paraphrase Database to Compositional Paraphrase Model and Back John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu and Dan Roth |
| 10:30–12:10 | Session 7B: Information Extraction (Long Papers) Small Auditorium Chair: Shiqi Zhao |
| 10:30–10:55 | Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks Daojian Zeng, Kang Liu, Yubo Chen and Jun Zhao |
| 10:55–11:20 | CORE: Context-Aware Open Relation Extraction with Factorization Machines Fabio Petroni, Luciano Del Corro and Rainer Gemulla |
| 11:20–11:45 | Improved Relation Extraction with Feature-Rich Compositional Embedding Models Matthew R. Gormley, Mo Yu and Mark Dredze |
| 11:45–12:10 | Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng and Zhi Jin |
| 10:30–12:10 | Session 7C: Computational Psycholinguistics / Machine Translation (Long Papers) Room 2 Chair: Nizar Habash |
| 10:30–10:55 | A Computational Cognitive Model of Novel Word Generalization Aida Nematzadeh, Erin Grant and Suzanne Stevenson |
| 10:55–11:20 | Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources Lucie Flekova and Iryna Gurevych |
| 11:20–11:45 | Leave-one-out Word Alignment without Garbage Collector Effects Xiaolin Wang, Masao Utiyama, Andrew Finch, Taro Watanabe and Eiichiro Sumita |
| 11:45–12:10 | Generalized Agreement for Bidirectional Word Alignment Chunyang Liu, Yang Liu, Maosong Sun, Huanbo Luan and Heng Yu |
| 10:30–12:10 | Session 7D (P1-6): Word Segmentation, Tagging and Parsing (Long +TACL Paper Posters) Lower Level Foyer Chair: David McClosky |
| A Transition-based Model for Joint Segmentation, POS-tagging and Normalization Tao Qian, Yue Zhang, Meishan Zhang, Yafeng Ren and Donghong Ji | |
| Multilingual discriminative lexicalized phrase structure parsing Benoit Crabbé | |
| Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing Yuan Zhang and Regina Barzilay | |
| Diversity in Spectral Learning for Natural Language Parsing Shashi Narayan and Shay B. Cohen | |
| Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks Xinchi Chen, Yaqian Zhou, Chenxi Zhu, Xipeng Qiu and Xuanjing Huang | |
| [TACL] A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic Analysis Wolfgang Seeker and Özlem Çetinoğlu | |
| 10:30–12:10 | Session 7E (P1-3): Spoken Language Processing (Short Paper Posters) Lower Level Foyer Chair: Jun-Ping Ng |
| Turn-taking phenomena in incremental dialogue systems Hatim Khouzaimi, Romain Laroche and Fabrice Lefevre | |
| Hierarchical Latent Words Language Models for Robust Modeling to Out-Of Domain Tasks Ryo Masumura, Taichi Asami, Takanobu Oba, Hirokazu Masataki, Sumitaka Sakauchi and Akinori Ito | |
| A Coarse-Grained Model for Optimal Coupling of ASR and SMT Systems for Speech Translation Gaurav Kumar, Graeme Blackwood, Jan Trmal, Daniel Povey and Sanjeev Khudanpur | |
| 10:30–12:10 | Session 7E (P4-18): Summarization (Short Paper Posters) Lower Level Foyer Chair: Jun-Ping Ng |
| Abstractive Multi-document Summarization with Semantic Information Extraction Wei Li | |
| Concept-based Summarization using Integer Linear Programming: From Concept Pruning to Multiple Optimal Solutions Florian Boudin, Hugo Mougard and Benoit Favre | |
| GhostWriter: Using an LSTM for Automatic Rap Lyric Generation Peter Potash, Alexey Romanov and Anna Rumshisky | |
| Better Summarization Evaluation with Word Embeddings for ROUGE Jun-Ping Ng and Viktoria Abrecht | |
| Krimping texts for better summarization Marina Litvak, Mark Last and Natalia Vanetik | |
| From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes Dimitra Gkatzia, Verena Rieser, Phil Bartie and William Mackaness | |
| An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles Deyu Zhou, Haiyang Xu and Yulan He | |
| Topical Coherence for Graph-based Extractive Summarization Daraksha Parveen, Hans-Martin Ramsl and Michael Strube | |
| Summarizing Student Responses to Reflection Prompts Wencan Luo and Diane Litman | |
| Extractive Summarization by Maximizing Semantic Volume Dani Yogatama, Fei Liu and Noah A. Smith | |
| LCSTS: A Large Scale Chinese Short Text Summarization Dataset Baotian Hu, Qingcai Chen and Fangze Zhu | |
| Discourse Planning with an N-gram Model of Relations Or Biran and Kathleen McKeown | |
| Experiments with Generative Models for Dependency Tree Linearization Richard Futrell and Edward Gibson | |
| Summarization Based on Embedding Distributions Hayato Kobayashi, Masaki Noguchi and Taichi Yatsuka | |
| Reversibility reconsidered: finite-state factors for efficient probabilistic sampling in parsing and generation Marc Dymetman, Sriram Venkatapathy and Chunyang Xiao | |
| 12:10–13:30 | Lunch |
| 13:30–15:15 | Session 8A: Fun and Quirky Topics (Short Papers) Main Auditorium Chair: Atsushi Fujii |
| 13:30–13:45 | A quantitative analysis of gender differences in movies using psycholinguistic normatives Anil Ramakrishna, Nikolaos Malandrakis, Elizabeth Staruk and Shrikanth Narayanan |
| 13:45–14:00 | EMNLP versus ACL: Analyzing NLP research over time Sujatha Das Gollapalli and Xiaoli Li |
| 14:00–14:15 | Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge Yang Li and Peter Clark |
| 14:15–14:30 | WikiQA: A Challenge Dataset for Open-Domain Question Answering Yi Yang, Wen-tau Yih and Christopher Meek |
| 14:30–14:45 | Personalized Machine Translation: Predicting Translational Preferences Shachar Mirkin and Jean-Luc Meunier |
| 14:45–15:00 | Talking to the crowd: What do people react to in online discussions? Aaron Jaech, Victoria Zayats, Hao Fang, Mari Ostendorf and Hannaneh Hajishirzi |
| 15:00–15:15 | What Your Username Says About You Aaron Jaech and Mari Ostendorf |
| 13:30–15:15 | Session 8B: Semantics (Short Papers) Small Auditorium Chair: Marco Baroni |
| 13:30–13:45 | Knowledge Base Inference using Bridging Entities Bhushan Kotnis, Pradeep Bansal and Partha P. Talukdar |
| 13:45–14:00 | Specializing Word Embeddings for Similarity or Relatedness Douwe Kiela, Felix Hill and Stephen Clark |
| 14:00–14:15 | Evaluation of Word Vector Representations by Subspace Alignment Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample and Chris Dyer |
| 14:15–14:30 | Higher-order logical inference with compositional semantics Koji Mineshima, Pascual Martínez-Gómez, Yusuke Miyao and Daisuke Bekki |
| 14:30–14:45 | Any-language frame-semantic parsing Anders Johannsen, Héctor Martínez Alonso and Anders Søgaard |
| 15:00–15:15 | What’s in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation Arne Köhn |
| 13:30–15:15 | Session 8C: Statistical Models and Machine Learning Methods / Machine Translation (Short Papers) Room 2 Chair: Kevin Gimpel |
| 13:30–13:45 | Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron Jun Araki and Teruko Mitamura |
| 13:45–14:00 | A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation Rico Sennrich and Barry Haddow |
| 14:00–14:15 | Variable-Length Word Encodings for Neural Translation Models Rohan Chitnis and John DeNero |
| 14:15–14:30 | A Binarized Neural Network Joint Model for Machine Translation Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig and Satoshi Nakamura |
| 14:30–14:45 | Bayesian Optimization of Text Representations Dani Yogatama, Lingpeng Kong and Noah A. Smith |
| 14:45–15:00 | A Comparative Study on Regularization Strategies for Embedding-based Neural Networks Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu and Zhi Jin |
| 15:00–15:15 | Efficient Hyper-parameter Optimization for NLP Applications Lidan Wang, Minwei Feng, Bowen Zhou, Bing Xiang and Sridhar Mahadevan |
| 13:30–15:15 | Session 8D (P1-6): NLP for the Web and Social Media, including Computational Social Science (Long Paper Posters) Lower Level Foyer Chair: Tim Baldwin |
| Improved Arabic Dialect Classification with Social Media Data Fei Huang | |
| Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse Ivan Habernal and Iryna Gurevych | |
| Confounds and Consequences in Geotagged Twitter Data Umashanthi Pavalanathan and Jacob Eisenstein | |
| Modeling Reportable Events as Turning Points in Narrative Jessica Ouyang and Kathleen McKeown | |
| Towards the Extraction of Customer-to-Customer Suggestions from Reviews Sapna Negi and Paul Buitelaar | |
| Using Content-level Structures for Summarizing Microblog Repost Trees Jing Li, Wei Gao, Zhongyu Wei, Baolin Peng and Kam-Fai Wong | |
| 13:30–15:15 | Session 8D (P7-9): Discourse (Long Paper Posters) Lower Level Foyer Chair: Tim Baldwin |
| Intra-sentential Zero Anaphora Resolution using Subject Sharing Recognition Ryu Iida, Kentaro Torisawa, Chikara Hashimoto, Jong-Hoon Oh and Julien Kloetzer | |
| Estimation of Discourse Segmentation Labels from Crowd Data Ziheng Huang, Jialu Zhong and Rebecca J. Passonneau | |
| Comparing Word Representations for Implicit Discourse Relation Classification Chloé Braud and Pascal Denis | |
| 13:30–15:15 | Session 8E (P1-9): Discourse (Short Paper Posters) Lower Level Foyer Chair: Owen Rambow |
| Better Document-level Sentiment Analysis from RST Discourse Parsing Parminder Bhatia, Yangfeng Ji and Jacob Eisenstein | |
| Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations Yangfeng Ji, Gongbo Zhang and Jacob Eisenstein | |
| Wikification of Concept Mentions within Spoken Dialogues Using Domain Constraints from Wikipedia Seokhwan Kim, Rafael E. Banchs and Haizhou Li | |
| Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition Biao Zhang, Jinsong Su, Deyi Xiong, Yaojie Lu, Hong Duan and Junfeng Yao | |
| On the Role of Discourse Markers for Discriminating Claims and Premises in Argumentative Discourse Judith Eckle-Kohler, Roland Kluge and Iryna Gurevych | |
| Fatal or not? Finding errors that lead to dialogue breakdowns in chat-oriented dialogue systems Ryuichiro Higashinaka, Masahiro Mizukami, Kotaro Funakoshi, Masahiro Araki, Hiroshi Tsukahara and Yuka Kobayashi | |
| Learning Word Meanings and Grammar for Describing Everyday Activities in Smart Environments Muhammad Attamimi, Yuji Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi and Hideki Asoh | |
| Discourse Element Identification in Student Essays based on Global and Local Cohesion Wei Song, Ruiji Fu, Lizhen Liu and Ting Liu | |
| Adapting Coreference Resolution for Narrative Processing Quynh Ngoc Thi Do, Steven Bethard and Marie-Francine Moens | |
| 13:30–15:15 | Session 8E (P10-15): Phonology, Morphology and Word Segmentation (Short Paper Posters) Lower Level Foyer Chair: Owen Rambow |
| Joint Lemmatization and Morphological Tagging with Lemming Thomas Müller, Ryan Cotterell, Alexander Fraser and Hinrich Schütze | |
| Transducer Disambiguation with Sparse Topological Features Gonzalo Iglesias, Adrià de Gispert and Bill Byrne | |
| Arabic Diacritization with Recurrent Neural Networks Yonatan Belinkov and James Glass | |
| Automatic Diacritics Restoration for Hungarian Attila Novák and Borbála Siklósi | |
| Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model Hajime Morita, Daisuke Kawahara and Sadao Kurohashi | |
| Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study Hirotaka Kameko, Shinsuke Mori and Yoshimasa Tsuruoka | |
| 15:15–15:40 | Coffee break |
| 15:40–17:20 | Session 9A: Statistical Models and Machine Learning Methods (Long + TACL Papers) Main Auditorium Chair: Jason Eisner |
| 15:40–16:05 | When Are Tree Structures Necessary for Deep Learning of Representations? Jiwei Li, Thang Luong, Dan Jurafsky and Eduard Hovy |
| 16:05–16:30 | Discriminative Neural Sentence Modeling by Tree-Based Convolution Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang and Zhi Jin |
| 16:30–16:55 | Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents Pengfei Liu, Xipeng Qiu, Xinchi Chen, Shiyu Wu and Xuanjing Huang |
| 16:55–17:20 | [TACL] Learning Structural Kernels for Natural Language Processing Daniel Beck, Trevor Cohn, Christian Hardmeier and Lucia Specia |
| 15:40–17:20 | Session 9B: Text Mining and NLP Applications (Long Papers) Small Auditorium Chair: Shuming Shi |
| 15:40–16:05 | Verbal and Nonverbal Clues for Real-life Deception Detection Verónica Pérez-Rosas, Mohamed Abouelenien, Rada Mihalcea, Yao Xiao, CJ Linton and Mihai Burzo |
| 16:05–16:30 | Social Media Text Classification under Negative Covariate Shift Geli Fei and Bing Liu |
| 16:30–16:55 | Co-Training for Topic Classification of Scholarly Data Cornelia Caragea, Florin Bulgarov and Rada Mihalcea |
| 16:55–17:20 | Humor Recognition and Humor Anchor Extraction Diyi Yang, Alon Lavie, Chris Dyer and Eduard Hovy |
| 15:40–17:20 | Session 9C: Spoken Language Processing and Language Modeling (Long Papers) Room 2 Chair: Isabel Trancoso |
| 15:40–16:05 | Topic Identification and Discovery on Text and Speech Chandler May, Francis Ferraro, Alan McCree, Jonathan Wintrode, Daniel Garcia-Romero and Benjamin Van Durme |
| 16:05–16:30 | A Dynamic Programming Algorithm for Computing N-gram Posteriors from Lattices Dogan Can and Shrikanth Narayanan |
| 16:30–16:55 | Bilingual Structured Language Models for Statistical Machine Translation Ekaterina Garmash and Christof Monz |
| 16:55–17:20 | Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees Ehsan Shareghi, Matthias Petri, Gholamreza Haffari and Trevor Cohn |
| 15:40–17:20 | Session 9D (P1-8): Semantics (Long Paper Posters) Lower Level Foyer Chair: Nathan Schneider |
| ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation Chuncheng Xiang, Tingsong Jiang, Baobao Chang and Zhifang Sui | |
| A Single Word is not Enough: Ranking Multiword Expressions Using Distributional Semantics Martin Riedl and Chris Biemann | |
| Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining Likun Qiu, Yue Zhang and Yanan Lu | |
| Navigating the Semantic Horizon using Relative Neighborhood Graphs Amaru Cuba Gyllensten and Magnus Sahlgren | |
| Multi- and Cross-Modal Semantics Beyond Vision: Grounding in Auditory Perception Douwe Kiela and Stephen Clark | |
| Automatic recognition of habituals: a three-way classification of clausal aspect Annemarie Friedrich and Manfred Pinkal | |
| Distributed Representations for Unsupervised Semantic Role Labeling Kristian Woodsend and Mirella Lapata | |
| A Tableau Prover for Natural Logic and Language Lasha Abzianidze | |
| 15:40–17:20 | Session 9E (P1-9): Sentiment Analysis and Opinion Mining (Short Paper Posters) Lower Level Foyer Chair: Kang Liu |
| JEAM: A Novel Model for Cross-Domain Sentiment Classification Based on Emotion Analysis Kun-Hu Luo, Zhi-Hong Deng, Hongliang Yu and Liang-Chen Wei | |
| PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis Thien Hai Nguyen and Kiyoaki Shirai | |
| ASTD: Arabic Sentiment Tweets Dataset Mahmoud Nabil, Mohamed Aly and Amir Atiya | |
| Adjective Intensity and Sentiment Analysis Raksha Sharma, Mohit Gupta, Astha Agarwal and Pushpak Bhattacharyya | |
| The Rating Game: Sentiment Rating Reproducibility from Text Lasse Borgholt, Peter Simonsen and Dirk Hovy | |
| A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining Salud M. Jiménez-Zafra, Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, María Teresa Martín-Valdivia and Alejandro Moreo Fernández | |
| Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis Soujanya Poria, Erik Cambria and Alexander Gelbukh | |
| SLSA: A Sentiment Lexicon for Standard Arabic Ramy Eskander and Owen Rambow | |
| Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification Ning Xing, Yuexian Hou, Peng Zhang, Wenjie Li and Dawei Song | |
| 15:40–17:20 | Session 9E (P10-17): NLP for the Web and Social Media, including Computational Social Science (Short Paper Posters) Lower Level Foyer Chair: Kang Liu |
| That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets William Yang Wang and Diyi Yang | |
| Detection of Steganographic Techniques on Twitter Alex Wilson, Phil Blunsom and Andrew Ker | |
| #SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns Dong Nguyen, Tijs van den Broek, Claudia Hauff, Djoerd Hiemstra and Michel Ehrenhard | |
| An Analysis of Domestic Abuse Discourse on Reddit Nicolas Schrading, Cecilia Ovesdotter Alm, Ray Ptucha and Christopher Homan | |
| Twitter-scale New Event Detection via K-term Hashing Dominik Wurzer, Victor Lavrenko and Miles Osborne | |
| Classifying Tweet Level Judgements of Rumours in Social Media Michal Lukasik, Trevor Cohn and Kalina Bontcheva | |
| Identification and Verification of Simple Claims about Statistical Properties Andreas Vlachos and Sebastian Riedel | |
| 17:30–17:50 | Session P5: Closing Remarks |
| 18:30–20:00 | Farewell Drink |