Shay Cohen's publications

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  • Canonical Correlation Inference for Mapping Abstract Scenes to Text, Helen Jiang, Nikos Papasarantopoulos and Shay B. Cohen, In arXiv (preprint)
  • Split and Rephrase, Shashi Narayan, Claire Gardent, Shay B. Cohen and Anastasia Shimorina, In EMNLP 2017 (to appear) [pdf]
  • Latent-Variable PCFGs: Background and Applications, Shay B. Cohen, In MOL 2017 [pdf] [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] [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