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 my group and publications. Here are some recent papers:
- Semantic Roles for String to Tree Machine Translation,
Marzieh Bazrafshan and Daniel Gildea.
In Association for Computational Linguistics (ACL-13) short paper, 2013.
[bib]
- Sampling Tree Fragments from Forests,
Tagyoung Chung, Licheng Fang, Daniel Gildea, and Daniel Stefankovic.
Computational Linguistics, to appear, 2013.
[bib]
- Simultaneous Word-Morpheme Alignment for Statistical Machine Translation,
Elif Eyigöz, Daniel Gildea, and Kemal Oflazer.
In Proceedings of the 2013 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-13),
2013.
[bib]
- Integrating Programming by Example and Natural Language Programming,
Mehdi Manshadi, Daniel Gildea, and James Allen.
In Proceedings of the National Conference on Artificial Intelligence (AAAI-13), 2013.
[bib]
- Plurality, Negation, and Quantification: Towards Comprehensive Quantifier Scope Dismabiguation,
Mehdi Manshadi, Daniel Gildea, and James Allen.
In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL-13), 2013.
[bib]
- Text Alignment for Real-Time Crowd Captioning,
Iftekhar Naim, Daniel Gildea, Walter Lasecki, and Jeffrey Bigham.
In Proceedings of the 2013 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-13),
2013.
[bib]
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gildea @ cs rochester edu
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June 14, 2013
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