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Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models

In this paper we describe the construction of a part-of-speech tagger both for medical document retrieval purposes and XP extraction. Therefore we have designed a double system: for retrieval purposes, we rely on a rule-based architecture, called minimal commitment, which is likely to be completed by a data-driven tool (HMM) when full disambiguation is necessary.


Patrick Ruch, Robert Baud, Pierrette Bouillon and Gilbert Robert, Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models. In: Proceedings of CoNLL-2000 and LLL-2000, Lisbon, Portugal, 2000. [ps] [pdf] [bibtex]
Last update: June 27, 2001. erikt@uia.ua.ac.be