Daniel Gildea
Associate Professor, Computer Science,
University of Rochester.
Member, Center for Language Sciences
and Center for Computation and the Brain.
I'm interested in statistical approaches to natural
language processing, in particular for the tasks of
machine translation and
language understanding.
CV [pdf]
Teaching
Research
See publication list - here are some recent papers:
- Semantic Role Features for Machine Translation,
Ding Liu and Daniel Gildea.
In Proceedings of the 23rd International Conference on Computational Linguistics (COLING-10), Beijing, 2010.
- Optimal Parsing Strategies for Linear Context-Free Rewriting Systems,
Daniel Gildea.
In Proceedings of the 2010 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-10),
2010. [slides]
- Factors affecting the accuracy of Korean parsing,
Tagyoung Chung, Matt Post, and Daniel Gildea.
In NAACL Workshop on Statistical Parsing of Morphologically Rich Languages, 2010.
- Do Grammars Minimize Dependency Length?,
Daniel Gildea and David Temperley.
Cognitive Science, 34(2):286–310, 2010.
Other Stuff
My group; my favorite decoder; my favorite integer sequence.
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gildea @ cs rochester edu
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July 7, 2010
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