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IHI
2010
144views Healthcare» more  IHI 2010»
12 years 11 months ago
The effect of different context representations on word sense discrimination in biomedical texts
Unsupervised word sense discrimination relies on the idea that words that occur in similar contexts will have similar meanings. These techniques cluster multiple contexts in which...
Ted Pedersen
BMCBI
2010
186views more  BMCBI 2010»
13 years 5 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
2004
13 years 6 months ago
Discriminating Among Word Meanings by Identifying Similar Contexts
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
Amruta Purandare, Ted Pedersen
ECAI
1994
Springer
13 years 9 months ago
Interpreting Common Words in Context: a Symbolic Approach
This paper presents a lexical model dedicated to the semantic representation and interpretation of individual words in unrestricted text, where sense discrimination is difficult t...
Violaine Prince
BMCBI
2006
151views more  BMCBI 2006»
13 years 4 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...