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FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
15 years 8 months ago
Word Sense Disambiguation Based on Bayes Model and Information Gain
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
Zhengtao Yu, Bin Deng, Bo Hou, Lu Han, Jianyi Guo
COLING
1996
15 years 3 months ago
Role of Word Sense Disambiguation in Lexical Acquisition: Predicting Semantics from Syntactic Cues
This paper addresses the issue of word-sense ambiguity in extraction from machine-readable resources for the construction of large-scale knowledge sources. We describe two experim...
Bonnie J. Dorr, Douglas A. Jones
BMCBI
2010
186views more  BMCBI 2010»
15 years 1 months ago
Knowledge-based biomedical word sense disambiguation: comparison of approaches
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
Antonio Jimeno Yepes, Alan R. Aronson
CICLING
2010
Springer
15 years 8 months ago
An Experimental Study on Unsupervised Graph-based Word Sense Disambiguation
Recent research works on unsupervised word sense disambiguation report an increase in performance, which reduces their handicap from the respective supervised approaches for the sa...
George Tsatsaronis, Iraklis Varlamis, Kjetil N&osl...
ACL
1998
15 years 3 months ago
Bridging the Gap between Dictionary and Thesaurus
This paper presents an algorithm to integrate different lexical resources, through which we hope to overcome the individual inadequacy of the resources, and thus obtain some enric...
Oi Yee Kwong