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. [PS]
[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.
[PS]
[PDF]
[slides]
William P. Headden, 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.
[PS]
[PDF]
David McClosky and Eugene Charniak.
Self-Training for Biomedical Parsing. Proceedings of the Association for Computational Linguistics (ACL 2008, short papers), Columbus, Ohio.
[PS]
[PDF]
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.
[PS]
[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.
[PS]
[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.
[PS]
[PDF]
[slides]
[self-trained parser model]
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.
[PS]
[PDF]
[poster]
Class papers of potentially general interest
David McClosky. Restricted Programming Paradigms for Parallelism for
CS275(Topics in Parallel and Distributed Computing)
[PS]
[PDF]