A New Approach to Word Sense Disambiguation

A New Approach to Word Sense Disambiguation (1994)

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by Rebecca Bruce , Janyce Wiebe

Venue:	In Proceedings of the ARPA Workshop on Human Language Technology
Citations:	14 - 5 self

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Datum	Value	Source
TITLE	A New Approach to Word Sense Disambiguation	INFERENCE
AUTHOR NAME	Rebecca Bruce	user correction - Legacy Corrections
AUTHOR AFFIL	The Computing Research Lab; New Mexico State University	user correction - Legacy Corrections
AUTHOR ADDR	Las Cruces, NM 88003	user correction - Legacy Corrections
AUTHOR NAME	Janyce Wiebe	user correction - Legacy Corrections
AUTHOR AFFIL	The Computing Research Lab; New Mexico State University	user correction - Legacy Corrections
AUTHOR ADDR	Las Cruces, NM 88003	user correction - Legacy Corrections
ABSTRACT	This paper presents and evaluates models created according to a schema that provides a description of the joint distribution of the values of sense tags and contextual features that is potentially applicable to a wide range of content words. The models are evaluated through a series of experiments, the results of which suggest that the schema is particularly well suited to nouns but that it is also applicable to words in other syntactic categories. 1. INTRODUCTION Assigning sense tags to the words in a text can be viewed as a classification problem. A probabilistic classifier assigns to each word the tag that has the highest estimated probability of having occurred in the given context. Designing a probabilistic classifier for word-sense disambiguation includes two main sub-tasks: specifying an appropriate model and estimating the parameters of that model. The former involves selecting informative contextual features (such as collocations) and describing the joint distribution of the...	user correction - Legacy Corrections
YEAR	1994	INFERENCE
VENUE	In Proceedings of the ARPA Workshop on Human Language Technology	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	236--241	INFERENCE
CITATIONS	16 found	ParsCit 1.0