Jump to: 2012 2011 2010 2009 2008 2006 2005

Thesis

  • David McClosky. Any Domain Parsing: Automatic Domain Adapatation for Parsing. Ph.D. Thesis, Brown. May 2010. [PDF] [thesis defense slides]

2012

2011

2010

2009

  • William P. Headden III, Mark Johnson, and David McClosky. Improving Unsupervised Dependency Parsing with Richer Contexts and Smoothing. North American Chapter of the Association for Computational Linguistics - Human Language Technologies 2009 Conference (NAACL-HLT 2009), Boulder, Colorado. [PDF]

2008

  • David McClosky, Eugene Charniak, and Mark Johnson. BLLIP North American News Text. Linguistic Data Consortium, Philadelphia, 2008. [complete] [general]
  • David McClosky. Modeling Valence Effects in Unsupervised Grammar Induction. Technical Report CS-09-01, Brown University, Providence, RI, USA, 2008. [PDF]
  • David McClosky, Eugene Charniak, and Mark Johnson. When is Self-Training Effective for Parsing? Proceedings of the International Conference on Computational Linguistics (COLING 2008), Manchester, UK. [PDF] [slides]
  • William P. Headden III, David McClosky, and Eugene Charniak. Evaluating Unsupervised Part-of-Speech Tagging for Grammar Induction. Proceedings of the International Conference on Computational Linguistics (COLING 2008), Manchester, UK. [PDF]
  • David McClosky and Eugene Charniak. Self-Training for Biomedical Parsing. Proceedings of the Association for Computational Linguistics (ACL 2008, short papers), Columbus, Ohio. [PDF] [poster]

2006

  • David McClosky, Eugene Charniak, and Mark Johnson. Reranking and Self-Training for Parser Adaptation. Proceedings of the Association for Computational Linguistics (COLING-ACL 2006), Sydney, Australia. [PDF] [slides]
  • Matthew Lease, Eugene Charniak, Mark Johnson, and David McClosky. A Look At Parsing and Its Applications. Proceedings of American Association for Artificial Intelligence (AAAI 2006), Boston, Massachusetts. [PDF]
  • David McClosky, Eugene Charniak, and Mark Johnson. Effective Self-Training for Parsing. Proceedings of the Conference on Human Language Technology and North American chapter of the Association for Computational Linguistics (HLT-NAACL 2006), Brooklyn, New York. [PDF] [slides] [self-trained parser model]

2005

  • Sharon Goldwater and David McClosky. Improving Statistical MT through Morphological Analysis. Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT-EMNLP 2005), Vancouver, Canada. [PDF] [poster]

class papers

  • David McClosky. Restricted Programming Paradigms for Parallelism for CS275 (Topics in Parallel and Distributed Computing) [PDF]