Shay Cohen's publications

Show all abstracts
  • Semantic Role Labeling with Iterative Structure Refinement, Chunchuan Lyu, Shay B. Cohen and Ivan Titov, In EMNLP 2019 (accepted)
  • Experimenting with Power Divergences for Language Modeling, Matthieu Labeau and Shay B. Cohen, In EMNLP 2019 (accepted)
  • Partners in Crime: Multi-view Sequential Inference for Movie Understanding, Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata and Shay B. Cohen, In EMNLP 2019 (accepted)
  • Bottom-Up Unranked Tree-to-Graph Transducers for Translation into Semantic Graphs, Johanna Björklund, Shay B. Cohen, Frank Drewes and Giorgio Satta, In FSMNLP 2019 (accepted)
  • Discourse Representation Structure Parsing with Recurrent Neural Networks and the Transformer Model, Jiangming Liu, Shay B. Cohen and Mirella Lapata, In the Shared Task on Semantic Parsing of IWCS 2019 (winning system)
  • What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks, Shashi Narayan, Shay B. Cohen and Mirella Lapata, In JAIR 2019 (accepted)
  • Wide-Coverage Neural A* Parsing for Minimalist Grammars, John Torr, Milos Stanojevic, Mark Steedman and Shay B. Cohen, In ACL 2019 [pdf] [abstract] [bibtex]
  • Discourse Representation Parsing for Sentences and Documents, Jiangming Liu, Shay B. Cohen and Mirella Lapata, In ACL 2019 [pdf] [abstract] [bibtex]
  • Duality of Link Prediction and Entailment Graph Induction, Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson and Mark Steedman, In ACL 2019 [pdf] [abstract] [bibtex]
  • PartCrafter: Find, Generate, and Analyze BioParts, Emily Scher, Shay B. Cohen and Guido Sanguinetti, In Synthetic Biology 2019 [website] [abstract] [bibtex]
  • Structural Neural Encoders for AMR-to-text Generation, Marco Damonte and Shay B. Cohen, In NAACL 2019 (to appear) [pdf] [abstract] [bibtex]
  • Jointly Extracting and Compressing Documents with Summary State Representations, Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins and Shay B. Cohen, In NAACL 2019 (to appear) [pdf] [abstract] [bibtex]
  • Discontinuous Constituency Parsing with a Stack-free Transition System and a Dynamic Oracle, Maximin Coavoux and Shay B. Cohen, In NAACL 2019 (to appear) [pdf] [abstract] [bibtex]
  • Unlexicalized Transition-based Discontinuous Constituency Parsing, Maximin Coavoux, Benoît Crabbé and Shay B. Cohen, In TACL 2019 [pdf] [abstract] [bibtex]
  • Learning Typed Entailment Graphs with Global Soft Constraints, Mohammad Javad Hosseini, Nathanael Chambers, Siva Reddy, Xavier Holt, Shay B. Cohen, Mark Johnson, and Mark Steedman, In TACL 2018 [pdf] [abstract] [bibtex]
  • Privacy-preserving Neural Representations of Text, Maximin Coavoux, Shashi Narayan and Shay B. Cohen, In EMNLP 2018 [pdf] [abstract] [bibtex] [Maximin's slides]
  • Don't Give Me the Details, Just the Summary! Topic-aware Convolutional Neural Networks for Extreme Summarization, Shashi Narayan, Shay B. Cohen and Mirella Lapata, In EMNLP 2018 [pdf] [abstract] [bibtex] [Shashi's slides]
  • Multilingual Clustering of Streaming News, Sebastião Miranda, Artūrs Znotiņš, Shay B. Cohen and Guntis Barzdins, In EMNLP 2018 [pdf] [abstract] [bibtex]
  • Local String Transduction as Sequence Labeling, Joana Ribeiro, Shashi Narayan, Shay B. Cohen and Xavier Carreras, In COLING 2018 [pdf] [abstract] [bibtex]
  • Discourse Representation Structure Parsing, Jiangming Liu, Shay B. Cohen and Mirella Lapata, In ACL 2018. [pdf] [abstract] [bibtex] [appendix]
  • Stock Movement Prediction from Tweets and Historical Prices, Yumo Xu and Shay B. Cohen, In ACL 2018. [pdf] [abstract] [bibtex]
  • Document Modeling with External Attention for Sentence Extraction, Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu and Yi Chang, In ACL 2018. [pdf] [abstract] [bibtex] [appendix] [errata]
  • Cross-lingual Abstract Meaning Representation Parsing, Marco Damonte and Shay B. Cohen, In NAACL 2018 [pdf] [abstract] [bibtex]
  • Ranking Sentences for Extractive Summarization with Reinforcement Learning, Shashi Narayan, Shay B. Cohen and Mirella Lapata, In NAACL 2018 [pdf] [abstract] [bibtex]
  • Abstract Meaning Representation for Paraphrase Detection, Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan and Yi Chang, In NAACL 2018 [pdf] [abstract] [bibtex]
  • Canonical Correlation Inference for Mapping Abstract Scenes to Text, Nikos Papasarantopoulos, Helen Jiang and Shay B. Cohen, In AAAI 2018 [pdf] [abstract] [bibtex]
  • Whodunnit? Crime Drama as a Case for Natural Language Understanding, Lea Frermann, Shay B. Cohen and Mirella Lapata, In TACL 2018 [pdf] [abstract] [bibtex] [Lea's slides]
  • Split and Rephrase, Shashi Narayan, Claire Gardent, Shay B. Cohen and Anastasia Shimorina, In EMNLP 2017 [pdf] [abstract] [bibtex] [Shashi's slides]
  • Latent-Variable PCFGs: Background and Applications, Shay B. Cohen, In MOL 2017 [pdf] [abstract] [bibtex] [invited talk slides]
  • The SUMMA Platform Prototype, Renars Liepins et al., In EACL 2017 (demo track) [pdf]
  • An Incremental Parser for Abstract Meaning Representation, Marco Damonte, Shay B. Cohen and Giorgio Satta, In EACL 2017 [pdf] [arxiv] [abstract] [bibtex] [Marco's slides]
  • Semi-Supervised Learning of Sequence Models with the Method of Moments, Zita Marinho, André F. T. Martins, Shay B. Cohen and Noah A. Smith , In EMNLP 2016 [pdf] [abstract] [bibtex] [Zita's slides]
  • Bayesian Analysis in Natural Language Processing, Shay B. Cohen, Synthesis Lectures on Human Language Technologies, Morgan and Claypool, 2016 [abstract] [bibtex] [website] [hardcopy] [amazon]
  • Encoding Prior Knowledge with Eigenword Embeddings, Dominique Osborne, Shashi Narayan and Shay B. Cohen, In TACL 2016 [pdf] [abstract] [bibtex] [Shashi's slides]
  • Optimizing Spectral Learning for Parsing, Shashi Narayan and Shay B. Cohen, In ACL 2016 [pdf] [abstract] [bibtex] [models] [Shashi's slides]
  • Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing, Shashi Narayan, Siva Reddy and Shay B. Cohen, In INLG, 2016 [arxiv] [abstract] [bibtex] [Shashi's slides]
  • Parsing Linear Context-Free Rewriting Systems with Fast Matrix Multiplication, Shay B. Cohen and Daniel Gildea, In Computational Linguistics, 2016 [pdf] [abstract] [bibtex] [arxiv]
  • Low-Rank Approximation of Weighted Tree Automata, Guillaume Rabusseau, Borja Balle and Shay B. Cohen, In AISTATS 2016 [pdf] [abstract] [bibtex] [supplementary material] [arxiv]
  • Conversation Trees: A Grammar Model for Topic Structure in Forums, Annie Louis and Shay B. Cohen, In EMNLP 2015 [pdf] [abstract] [bibtex] [data]
  • Diversity in Spectral Learning for Natural Language Parsing, Shashi Narayan and Shay B. Cohen, In EMNLP 2015 [pdf] [abstract] [bibtex]
  • A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation, Artem Sokolov, Stefan Riezler and Shay B. Cohen, In CoNLL 2015 [pdf] [abstract] [bibtex] [Artem's slides]
  • Lexical Event Ordering with an Edge-Factored Model, Omri Abend, Shay B. Cohen and Mark Steedman, In NAACL 2015 [pdf] [abstract] [bibtex] [data] [slides]
  • Online Adaptor Grammars with Hybrid Inference, Ke Zhai, Jordan Boyd-Graber and Shay B. Cohen, In TACL 2014 [pdf] [supplementary material] [abstract] [bibtex] [Ke's code]
  • Latent-Variable Synchronous CFGs for Hierarchical Translation, Avneesh Saluja, Chris Dyer and Shay B. Cohen, In EMNLP 2014 [pdf] [abstract] [bibtex] [code]
  • Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity, Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster and Lyle Ungar, In JMLR 2014 [pdf] [abstract] [bibtex]
  • A Provably Correct Learning Algorithm for Latent-Variable PCFGs, Shay B. Cohen and Michael Collins, In ACL 2014 [pdf] [abstract] [bibtex] [slides]
  • Spectral Unsupervised Parsing with Additive Tree Metrics, Ankur P. Parikh, Shay B. Cohen and Eric Xing, In ACL 2014 [pdf] [abstract] [bibtex] [appendix] [Ankur's slides]
  • Lexical Inference over Multi-Word Predicates: A Distributional Approach, Omri Abend, Shay B. Cohen and Mark Steedman, In ACL 2014 [pdf] [abstract] [bibtex] [code for train/test split]
  • Spectral Learning of Refinement HMMs, Karl Stratos, Alexander M. Rush, Shay B. Cohen and Michael Collins, In CoNLL 2013 [pdf] [abstract] [bibtex] [Karl's slides]
  • The Effect of Non-tightness on Bayesian Estimation of PCFGs, Shay B. Cohen and Mark Johnson, In ACL 2013 [pdf] [mathematica output] [abstract] [bibtex] [Mark's slides] [blog post]
  • Experiments with Spectral Learning of Latent-Variable PCFGs, Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster and Lyle Ungar, In NAACL 2013 [pdf] [abstract] [bibtex] [talk (video)] [talk (slides)]
  • Approximate PCFG Parsing Using Tensor Decomposition, Shay B. Cohen, Giorgio Satta and Michael Collins, In NAACL 2013 [pdf] [abstract] [bibtex]
  • Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs, Shay B. Cohen and Michael Collins, In NIPS 2012 [pdf] [abstract] [bibtex]
  • Elimination of Spurious Ambiguity in Transition-Based Dependency Parsing, Shay B. Cohen, Carlos Gómez-Rodríguez and Giorgio Satta, In arXiv (1206.6735), 2012 [pdf] [abstract] [bibtex]
  • Spectral Learning of Latent-Variable PCFGs, Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster and Lyle Ungar, In ACL 2012 [pdf] [longer JMLR version, stronger model] [abstract] [bibtex]
  • Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning, Shay B. Cohen and Noah A. Smith, Computational Linguistics (2012) [pdf] [abstract] [bibtex]
  • Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance, Shay B. Cohen, Dipanjan Das and Noah A. Smith, In EMNLP 2011[pdf] [abstract] [bibtex]
  • Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing, Shay B. Cohen, Carlos Gómez-Rodríguez and Giorgio Satta, In EMNLP 2011 [pdf] [abstract] [bibtex]
  • Products of Weighted Logic Programs, Shay B. Cohen, Robert J. Simmons and Noah A. Smith, In Theory and Practice of Logic Programming, 2011 [pdf] [abstract] [bibtex]
  • Empirical Risk Minimization with Approximations of Probabilistic Grammars, Shay B. Cohen and Noah A. Smith, In NIPS, 2010 [pdf] [appendix - pdf] [abstract] [bibtex]
  • Covariance in Unsupervised Learning of Probabilistic Grammars, Shay B. Cohen and Noah A. Smith, In JMLR, 2010 [pdf] [abstract] [bibtex]
  • Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization, Shay B. Cohen and Noah A. Smith, In ACL 2010 [pdf] [abstract] [bibtex] [slides]
  • Variational Inference for Adaptor Grammars, Shay B. Cohen, David M. Blei and Noah A. Smith, In NAACL 2010 [pdf] [abstract] [bibtex] [slides]
  • Variational Inference for Grammar Induction with Prior Knowledge, Shay B. Cohen and Noah A. Smith, In ACL 2009 (short paper track) [pdf] [abstract] [bibtex]
  • Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction, Shay B. Cohen and Noah A. Smith, In NAACL 2009 [pdf] [abstract] [bibtex]
  • Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction, Shay B. Cohen, Kevin Gimpel and Noah A. Smith, In NIPS 2008 [pdf] [code] [abstract] [bibtex]
  • Dynamic Programming Algorithms as Products of Weighted Logic Programs, Shay B. Cohen, Robert J. Simmons and Noah A. Smith, In ICLP 2008 (best student paper award) [springer] [journal-version] [abstract] [bibtex]
  • Joint Morphological and Syntactic Disambiguation, Shay B. Cohen and Noah A. Smith, In EMNLP 2007 [pdf] [abstract] [bibtex]
  • Feature Selection Via Coalitional Game Theory, Shay B. Cohen, Gideon Dror and Eytan Ruppin, In Neural Computation 19:7, 2007 [pdf] [bibtex]
  • Feature Selection Based on the Shapley Value, Shay B. Cohen, Gideon Dror and Eytan Ruppin, In IJCAI 2005 [pdf] [bibtex]
Dissertation, technical reports and others