Paper Info
Title
Word Sense Disambiguation Using WordNet Domains.
Abstract
In this paper we present the methodology for Word Sense Disambiguation based on domain information. Domain is a set of words in which there is a strong semantic relation among the words. The words in the sentence contribute to determine the domain of the sentence. The availability of WordNet domains makes the domain-oriented text analysis possible. The domain of the target word can be fixed based on the domains of the content words in the local context. This approach can be effectively used to disambiguate nouns. We present the unsupervised approach to Word Sense Disambiguation using the WordNet domains. The model determines the domain of the target word and the sense corresponding to this domain is taken as the correct sense. We have used the WordNet domains 3.1.as lexical database.
Year
DOI
Venue
2008
10.1109/ICETET.2008.231
ICETET
Keywords
Field
DocType
wordnet domains,content word,unsupervised approach,target word,domain information,domain-oriented text analysis,correct sense,word sense,lexical database,word sense disambiguation,wordnet domain,text analysis,computer science,dictionaries,databases,wordnet,artificial neural networks,availability,domains,noun,computer architecture,psychology,natural languages,communications technology,natural language processing
SemEval,Information retrieval,Computer science,Noun,Lexical database,Natural language,Natural language processing,Artificial intelligence,WordNet,Artificial neural network,Sentence,Word-sense disambiguation
Conference
Citations 
PageRank 
References 
13
0.70
6
Authors
2
Name
Order
Citations
PageRank
Sopan Govind Kolte1130.70
Sunil G. Bhirud2153.11