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Soft Word Sense Disambiguation

DSpace at IIT Bombay

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Title Soft Word Sense Disambiguation
 
Creator RAMAKRISHNAN, G
PRITHVIRAJ, BP
DEEPA, A
BHATTACHARYYA, P
CHAKRABARTI, S
 
Description Word sense disambiguation is a core problem in many tasks related to language processing. In this paper, we introduce the notion of soft word sense disambiguation which states that given a word, the sense disambiguation system should not commit to a particular sense, but rather, to a set of senses which are not necessarily orthogonal or mutually exclusive. The senses of a word are expressed by its WordNet synsets, arranged according to their relevance. The relevance of these senses are probabilistically determined through a Bayesian Belief Network. The main contribution of the work is a completely probabilistic framework for word-sense disambiguation with a semi-supervised learning technique utilising WordNet. WordNet can be customized to a domain using corpora from that domain. This idea applied to question answering has been evaluated on TREC data and the results are promising.
 
Publisher MASARYKOVA UNIV
 
Date 2011-08-18T14:49:41Z
2011-12-26T12:55:48Z
2011-12-27T05:42:38Z
2011-08-18T14:49:41Z
2011-12-26T12:55:48Z
2011-12-27T05:42:38Z
2003
 
Type Article
 
Identifier GWC 2004: SECOND INTERNATIONAL WORDNET CONFERENCE, PROCEEDINGS, (), 291-298
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10052
http://hdl.handle.net/10054/10052
 
Language en