M. Hepple. 2000. Independence and Commitment: Assumptions for Rapid Training and Execution of Rule-based Part-of-Speech Taggers. Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics (ACL-2000). pp 278-285. Hong Kong, October 2000.

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Abstract:

This paper addresses the rule-based part-of-speech tagging method of Brill, and questions the importance of rule interactions to its performance. Adopting two assumptions that serve to exclude rule interactions during tagging and training, we arrive at some variants of Brill's approach that are instances of decision list models. These models allow for both rapid training on large data sets and rapid tagger execution, giving tagging accuracy that is comparable to, or better than the Brill method.