Program 2016

CoNLL 2016: Program

Thursday, August 11, 2016 - Room 2.094
9:00 - 9:10    Opening
     
9:10 - 10:30    Session 1 - Word-Level Semantics
Chair: Dan Roth
     
   Session 1 - Generating Sentences from a Continuous Space
Samuel R. Bowman1, Luke Vilnis2, Oriol Vinyals3, Andrew Dai4, Rafal Jozefowicz4, Samy Bengio3
1Stanford University, 2University of Massachusetts, Amherst, 3Google, 4Google, Inc.
     
   Session 1 - Identifying Temporal Orientation of Word Senses
Mohammed Hasanuzzaman1, Gaël Dias2, Stéphane Ferrari2, Yann Mathet2, Andy Way3
1ADAPT Centre, Dublin, Ireland, 2Université de Caen Normandie, 3ADAPT Centre, School of Computing, Dublin City University
     
   Session 1 - Semi-supervised Clustering for Short Text via Deep Representation Learning
Zhiguo Wang, Haitao Mi, Abraham Ittycheriah
IBM Watson Research Center
     
   Session 1 - Neighborhood Mixture Model for Knowledge Base Completion
Dat Quoc Nguyen1, Kairit Sirts1, Lizhen Qu2, Mark Johnson1
1Macquarie University, 2NICTA, Australia
     
10:30 - 11:00    Break
     
11:00 - 12:20    Session 2 - Sentence-Level Semantics
Chair: Lluís Màrquez
     
   Session 2 - Learning to Jointly Predict Ellipsis and Comparison Structures
Omid Bakhshandeh1, Alexis Cornelia Wellwood2, James Allen1
1University of Rochester, 2Northwestern University
     
   Session 2 - context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Oren Melamud1, Jacob Goldberger2, Ido Dagan2
1Bar Ilan University, 2Bar-Ilan University
     
   Session 2 - Event Embeddings for Semantic Script Modeling
Ashutosh Modi
University of Saarland
     
   Session 2 - Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization
Markus Zopf1, Eneldo Loza Mencía2, Johannes Fürnkranz2
1AIPHES, Technische Universität Darmstadt, 2Knowledge Engineering Group, TU Darmstadt
     
12:20 - 12:50    SIGNLL Business Meeting
     
12:50 - 14:00    Lunch Break
     
14:00 - 15:40    Session 3 - Human Language Processing
Chair: Julia Hockenmaier
     
   Session 3 - Incremental Prediction of Sentence-final Verbs: Humans versus Machines
Alvin Grissom II1, Naho Orita2, Jordan Boyd-Graber3
1University of Colorado at Boulder, 2Tohoku University, 3University of Colorado
     
   Session 3 - A Data-driven Investigation of Corrective Feedback on Subject Omission Errors in First Language Acquisition
Sarah Hiller and Raquel Fernandez
ILLC, University of Amsterdam
     
   Session 3 - Redefining part-of-speech classes with distributional semantic models
Andrey Kutuzov, Erik Velldal, Lilja Øvrelid
University of Oslo
     
   Session 3 - Analyzing Learner Understanding of Novel L2 Vocabulary
Rebecca Knowles, Adithya Renduchintala, Philipp Koehn, Jason Eisner
Johns Hopkins University
     
   Session 3 - Modeling language evolution with codes that utilize context and phonetic features
Javad Nouri and Roman Yangarber
University of Helsinki
     
15:40 - 16:00    Break
     
16:00 - 17:15    Keynote 1: Human Processing of Disfluent Speech: Basic Findings, Theoretical Approaches, and Implications for Natural Language Processing
Fernanda Ferreira
     
17:15 - 18:15    Session 4 - Sarcasm / Sentiment
Chair: Tim Baldwin
     
   Session 4 - Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series `Friends'
Aditya Joshi1, Vaibhav Tripathi2, Pushpak Bhattacharyya3, Mark J Carman4
1IITB-Monash Research Academy, 2IIT Bombay, 3CSE Department, IIT Bombay, 4Monash University
     
   Session 4 - Leveraging Cognitive Features for Sentiment Analysis
Abhijit Mishra1, Diptesh Kanojia2, Seema Nagar3, Kuntal Dey4, Pushpak Bhattacharyya5
1Indian Institute of Technology Bombay, 2Indian Institute of Technology Bombay, Mumbai, 3IBM Research, 4IBM Research India, 5CSE Department, IIT Bombay
     
   Session 4 - Modelling Context with User Embeddings for Sarcasm Detection in Social Media
Silvio Amir1, Byron C. Wallace2, Hao Lyu3, Paula Carvalho1, Mario J. Silva1
1INESC-ID, IST, 2University of Texas at Austin, 3iSchool, University of Texas at Austin
     
Friday, August 12, 2016 - Room 2.094
9:00 - 9:15    SIGNLL Steering Committee Address
     
9:15 - 10:30    Keynote 2: RNNaissance
Jürgen Schmidhuber
     
10:30 - 11:00    Break
     
11:00 - 12:40    Session 5 - Syntax, Named Entities, and Machine Translation
Chair: Joakim Nivre
     
   Session 5 - Exploring Prediction Uncertainty in Machine Translation Quality Estimation
Daniel Beck1, Lucia Specia1, Trevor Cohn2
1University of Sheffield, 2University of Melbourne
     
   Session 5 - Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection
Meng Fang1 and Trevor Cohn2
1The University of Melbourne, 2University of Melbourne
     
   Session 5 - Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
Swabha Swayamdipta1, Miguel Ballesteros2, Chris Dyer3, Noah A. Smith4
1Carnegie Mellon University, 2Pompeu Fabra University, 3Google DeepMind, 4University of Washington
     
   Session 5 - Beyond Prefix-Based Interactive Translation Prediction
Jesús González-Rubio1, Daniel Ortiz Martinez2, Francisco Casacuberta3, Jose Miguel Benedi Ruiz3
1Universitat Politècnica de València, 2Webinterpret, 3Universitat Politecnica de Valencia
     
   Session 5 - Cross-Lingual Named Entity Recognition via Wikification
Chen-Tse Tsai1, Stephen Mayhew2, Dan Roth2
1University of Illinois at Urbana-Champaign, 2University of Illinois
     
12:40 - 14:00    Lunch Break
     
14:00 - 15:30    Session 6 - Shared Task on Shallow Discourse Parsing
     
15:30 - 16:00    Break
     
16:00 - 16:20    Session 7 - Spotlight Presentations
     
16:20 - 17:20    Session 8 - Posters
     
   Session 8 - Coreference in Wikipedia: Main Concept Resolution
Abbas Ghaddar and Phillippe Langlais
Université de Montréal
     
   Session 8 - Event Linking with Sentential Features from Convolutional Neural Networks
Sebastian Krause1, Feiyu Xu2, Hans Uszkoreit3, Dirk Weissenborn4
1German Research Center for Artificial Intelligence, 2DFKI LT Lab, 3DFKI and Saarland University, 4German Research Center for Artificial Intelligence (DFKI)
     
   Session 8 - Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
Ikuya Yamada1, Hiroyuki Shindo2, Hideaki Takeda3, Yoshiyasu Takefuji4
1Studio Ousia, 2Nara Institute of Science and Technology, 3National Institute of Informatics, 4Keio University
     
   Session 8 - Entity Disambiguation by Knowledge and Text Jointly Embedding
Wei Fang1, Jianwen Zhang2, Dilin Wang3, Zheng Chen2, Ming Li1
1SYSU-CMU Joint Institute of Engineering, School of Electronics and Information Technology, Sun Yat-Sen University / SYSU-CMU Shunde International Joint Research Institute, 2Microsoft, Redmond, WA, 3Computer Science, Dartmouth College
     
   Session 8 - Substring-based unsupervised transliteration with phonetic and contextual knowledge
Anoop Kunchukuttan1, Pushpak Bhattacharyya2, Mitesh M. Khapra3
1IIT Bombay, 2CSE Department, IIT Bombay, 3IBM Research India
     
   Session 8 - Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Ramesh Nallapati1, Bowen Zhou2, Cicero dos Santos3, Caglar Gulcehre4, Bing Xiang5
1IBM T. J. Watson Research Center, 2IBM Research, 3IBM Watson, 4Universite de Montreal, 5IBM
     
   Session 8 - Compression of Neural Machine Translation Models via Pruning
Abigail See, Minh-Thang Luong, Christopher D. Manning
Stanford University
     
   Session 8 - Modelling the Usage of Discourse Connectives as Rational Speech Acts
Frances Yung1, Kevin Duh2, Taku Komura3, Yuji Matsumoto1
1Nara Institute of Science and Technology, 2Johns Hopkins University, 3University of Edinburgh
     
   Session 8 - Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data
Boxing Chen1 and Fei Huang2
1NRC, 2Facebook
     
17:20 - 18:00    Session 9 - Best Paper Awards + Closing