Minimal commitment and full lexical disambiguation: balancing rules and hidden Markov Models

Authors:
Patrick Ruch;Robert Baud;Pierrette Bouillon;Gilbert Robert
Affiliations:
University Hospital of Geneva;University Hospital of Geneva;University of Geneva;University of Geneva
Venue:
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Year:
2000

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Abstract

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.