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» Four Methods for Supervised Word Sense Disambiguation
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EACL
2006
ACL Anthology
15 years 1 months ago
Determining Word Sense Dominance Using a Thesaurus
The degree of dominance of a sense of a word is the proportion of occurrences of that sense in text. We propose four new methods to accurately determine word sense dominance using...
Saif Mohammad, Graeme Hirst
BMCBI
2010
186views more  BMCBI 2010»
14 years 11 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
AAAI
2006
15 years 1 months ago
An End-to-End Supervised Target-Word Sense Disambiguation System
We present an extensible supervised Target-Word Sense Disambiguation system that leverages upon GATE (General Architecture for Text Engineering), NSP (Ngram Statistics Package) an...
Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen...
ACL
2003
15 years 1 months ago
Syntactic Features and Word Similarity for Supervised Metonymy Resolution
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
Malvina Nissim, Katja Markert