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:
- On the String Translations Produced by Multi Bottom-Up Tree Transducers,
Daniel Gildea.
Computational Linguistics, 38(3):673–693, 2012.
- Tuning as Linear Regression,
Marzieh Bazrafshan, Tagyoung Chung, and Daniel Gildea.
In North American chapter of the Association for Computational Linguistics (NAACL) short paper, 2012.
- Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients,
Iftekhar Naim and Daniel Gildea.
In International Conference on Machine Learning (ICML), 2012.
- Improving the IBM Alignment Models Using Variational Bayes,
Darcey Riley and Daniel Gildea.
In Association for Computational Linguistics (ACL) short paper, 2012.
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gildea @ cs rochester edu
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December 7, 2012
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