Lexical semantic ambiguity resolution with bigram-based decision trees

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper presents a corpus-based approach to word sense disambiguation where a decision tree assigns a sense to an ambiguous word based on the bigrams that occur nearby. This approach is evaluated using the sense-tagged corpora from the 1998 SENSEVAL word sense disambiguation exercise. It is more accurate than the average results reported for 30 of 36 words, and is more accurate than the best results for 19 of 36 words.

Original languageEnglish (US)
Title of host publicationComputational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings
EditorsAlexander Gelbukh
PublisherSpringer- Verlag
Pages157-168
Number of pages12
ISBN (Print)3540416870, 9783540416876
StatePublished - Jan 1 2001
Event2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001 - Mexico City, Mexico
Duration: Feb 18 2001Feb 24 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2004
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001
CountryMexico
CityMexico City
Period2/18/012/24/01

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