Rapid Adaptation of POS Tagging for Domain Specific Uses
Rapid Adaptation of POS Tagging for Domain Specific Uses
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Date
2006-06
Authors
Miller, John
Bloodgood, Michael
Torii, Manabu
Vijay-Shanker, K
Advisor
Citation
John E. Miller, Michael Bloodgood, Manabu Torii, and K. Vijay-Shanker. 2006. Rapid adaptation of POS tagging for domain specific uses. In Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology, pages 118-119, New York, New York, June. Association for Computational Linguistics.
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Abstract
Part-of-speech (POS) tagging is a fundamental component for performing natural language tasks such as parsing, information extraction, and question answering. When POS taggers are trained in one domain and applied in significantly different domains, their performance can degrade dramatically. We present a methodology for rapid adaptation of POS taggers to new domains. Our technique is unsupervised in that a manually annotated corpus for the new domain is not necessary. We use suffix information gathered from large amounts of raw text as well as orthographic information to increase the lexical coverage. We present an experiment in the Biological domain where our POS tagger achieves results comparable to POS taggers specifically trained to this domain.