Keith Hall is currently a Research Scientist at Google. His research focuses on the advancement of structured (syntactic) models in automatic language processing tasks. He was previously a Research Professor at Johns Hopkins University. He received his PhD from Brown University in 2005.
A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches, Eneko Agirre, Enrique Alfonseca, Keith Hall, Jana Kravalova, Marius Pasca, Aitor Soroa, Proceedings of NAACL-HLT 2009.
Corrective Dependency Parsing, Keith B. Hall, Vaclav Novak, Advances in Parsing Technologies, 2009 (to appear).
Gazpacho and summer rash: lexical relationships from temporal patterns of web search queries, Enrique Alfonseca, Massimiliano Ciaramita, Keith Hall, Proceedings of the conference on Empirical Methods in Natural Language Processing (EMNLP), 2009.
Large-scale Computation of Distributional Similarities for Queries, Enrique Alfonseca, Keith Hall, Silvana Hartmann, Proceedings of NAACL-HLT-2009.
Large-scale Semantic Networks: Annotation and Evaluation, Vaclav Novak, Sven Hartrumpf, Keith B. Hall, Proceedings of the Semantic Evaluations Workshop at NAACL-HLT, 2009.
Reconstructing false start errors in spontaneous speech text, Erin Fitzgerald, Keith B. Hall, Frederick Jelinek, Proceedings of the European Chapter of the Association for Computational Linguistics, 2009.
Investigating Linguistic Knowledge in a Maximum Entropy Token-based Language Model, Jia Cui, Yi Su, Keith Hall, Frederick Jelinek, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2007.
Inter-sentential Coreferences in Semantic Networks Evaluation of Manual Annotation, Vaclav Novak, Keith B. Hall, Conference on Language Resources and Evaluation (LREC), 2008.
Comparing Reordering Constraints for SMT Using Efficient BLEU Oracle Computation, Markus Dreyer, Keith B. Hall, Sanjeev Khudanpur, Proceedings of SSST, NAACL-HLT 2007 / AMTA Workshop on Syntax and Structure in Statistical Translation, pp. 103-110.
Generation in Machine Translation from Deep Syntactic Trees, Keith B. Hall, Petr Nemec, Proceedings of SSST, NAACL-HLT 2007 / AMTA Workshop on Syntax and Structure in Statistical Translation, pp. 57-64.
K-best Spanning Tree Parsing, Keith B. Hall, Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, 2007, pp. 392-399.
Log-Linear Models of Non-Projective Trees, $k$-best MST Parsing and Tree-Ranking, Keith B. Hall, Jiri Havelka, David A. Smith, Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007, pp. 962-966.
Corrective Models for Speech Recognition of Inflected Languages, Izhak Shafran, Keith B. Hall, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pp. 390-398.
Corrective Modeling for Non-Projective Dependency Parsing, Keith B. Hall, Vaclav Novak, Proceedings of the Ninth International Workshop on Parsing Technology, 2005, pp. 42-52.
Attention Shifting for Parsing Speech, Keith B. Hall, Mark Johnson, ACL, 2004, pp. 40-46.
Correlated-Q learning, Amy Greenwald, Keith B. Hall, Proceedings of the International Conference on Machine Learning (ICML), 2003.
Language modeling using efficient best-first bottom-up parsing, Keith B. Hall, Mark Johnson, Automatic Speech Recognition and Understanding, 2003. ASRU '03. 2003 IEEE Workshop on (2003), pp. 507-512.
Correlated-Q learning, Keith B. Hall, Amy Greenwald, In AAAI Spring Symposium, 2002, pp. 242-249.
Fair and Efficient Solutions to the Santa Fe Bar Problem, Julie Farago, Amy Greenwald, Keith B. Hall, Grace Hopper Celebration of Women in Computing, 2002.
Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval, Keith B. Hall, Thomas Hofmann, ICML, 2000, pp. 351-358.