Tom Kalt
Ph.D (September, 2005)
Autonomous Learning Lab
Department of Computer Science
University of Massachusetts
email:
My research focus is statistical natural language processing,
primarily parsing. Some NLP problems that interest me: parsing, chunking, tagging, language modeling, machine translation, information extraction, text classification, and information retrieval.
Machine learning is an essential part of statistical NLP, and I am interested in many topics in machine learning, including reinforcement learning and semi-supervised learning.
Research Statement
CV (pdf)
- Dissertation: "Control Models of Natural Language Parsing", University of Massachusetts Amherst, 2005
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- Tom Kalt, "Induction of Greedy Controllers for Deterministic Treebank Parsers", Proceedings of EMNLP 2004
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- C. Lagoze, W. Arms, S. Gan, D. Hillmann, C. Ingram, D. Krafft, R. Marisa, J. Phipps, J. Saylor, C. Terrizzi, W. Hoehn, D. Millman, J. Allan, S. Guzman-Lara, T. Kalt, "Core Services in the Architecture of the National Digital Library for Science Education (NSDL)", Proceedings of JCDL 2002
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- Tom Kalt, "A New Probabilistic Model of Text Classification and Retrieval", CIIR Technical Report IR-78, 1996
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