Refereed publications
(Visit my up-to-date publications page here).
Jia Cui, Yi Su, Keith Hall, and Frederick Jelinek. 2007. Investigating Linguistic Knowledge in a Maximum Entropy Token-based Language Model.
To appear at the 2007 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
Keith Hall and John Hale. 2007. Comprehender Uncertainty As Predicted by An Edge-Factored Dependency Grammar. Poster at the 13th Annual Conference on Architectures and Mechanisms for Language Processing (AMLaP).
Keith Hall. 2007. k-best Spanning Tree Parsing.
In Proceedings of 45th Annual Meeting of the Association for Computational Linguistics (ACL).
Keith Hall, Jiří Havelka, and David A. Smith. 2007. Log-linear Models of Non-projective Trees, k-best MST Parsing and Tree-ranking.
In Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007.
Keith Hall and Petr Němec. 2007. Generation in Machine Translation from Deep Syntactic Trees.
In Proceedings of the HLT-NAACL Workshop on Syntax and Structure in Statistical Translation.
Markus Dreyer, Keith Hall, and Sanjeev Khudanpur. 2007. Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation.
In Proceedings of the HLT-NAACL Workshop on Syntax and Structure in Statistical Translation.
Izhak Shafran and Keith Hall. 2006. Corrective Models for Speech Recognition of Inflected Languages.
In Proceedings of the 2006 conference on Empirical Methods in Natural Language Processing (EMNLP).
Keith Hall and Václav Novák. 2005. Corrective Modeling for Non-Projective Dependency Parsing.
In Proceedings of the 9th International Workshop on Parsing Technologies (IWPT).
Keith Hall. 2005. Best-first Word-lattice Parsing: Techniques for integrated syntactic language modeling.
Ph.D. Thesis, Department of Computer Science, Brown University.
Keith Hall and Mark Johnson. 2004. Attention Shifting for Parsing Speech.
In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL).
Keith Hall and Mark Johnson. 2003. Language modeling using efficient best-first bottom-up parsing.
Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
Amy Greenwald and Keith Hall. 2003. Correlated-Q Learning.
Proceedings of the International Conference on Machine Learning (ICML).
Keith Hall and Amy Greenwald. 2002. Correlated-Q Learning.
American Association for Artificial Intelligence Spring Symposium 2002.
Julie Farago, Amy Greenwald, and Keith Hall. 2002. Fair and efficient solutions to the Santa Fe bar problem.
Grace Hopper Celebration of Women in Computing.
Keith Hall and Thomas Hofmann. 2000. Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval.
Proceedings of the International Conference on Machine Learning (ICML).
Technical reports
A. Burbank, M. Carpuat, S. Clark, M. Dreyer, P. Fox, D. Groves, K. Hall, M. Hearne, I. D. Melamed,
Y. Shen, A. Way, B. Wellington, and D. Wu. 2005. Statistical Machine Translation by Parsing.
CLSP Technical Report
David Gondek, Amy Greenwald, and Keith Hall. QnR Learning: A Combination of Q-Learning and No Regret Learning.
David Gondek, Keith Hall, and Amy Greenwald. "Correlated Equilibria and Adaptive Algorithms in Markov Games." NSF Workshop on Multi-Agent Computation in Natural and Artificial Economies 2001, the Brookings Institute.
