[PDF][PDF] Document Clustering using Word Sense Disambiguation.
SEDE, 2008•academia.edu
In computational linguistics, word sense disambiguation (WSD) is the problem of
determining in which sense a word having a number of distinct senses is used in a given
sentence. This paper handles text document clustering as one of the major tasks of text
processing. Document clustering is the process of finding out groups of information from the
text documents and cluster these documents into the most relevant groups. Large document
corpus suffers from ambiguity problems like synonyms, polysemous and other semantic …
determining in which sense a word having a number of distinct senses is used in a given
sentence. This paper handles text document clustering as one of the major tasks of text
processing. Document clustering is the process of finding out groups of information from the
text documents and cluster these documents into the most relevant groups. Large document
corpus suffers from ambiguity problems like synonyms, polysemous and other semantic …
Abstract
In computational linguistics, word sense disambiguation (WSD) is the problem of determining in which sense a word having a number of distinct senses is used in a given sentence.
This paper handles text document clustering as one of the major tasks of text processing. Document clustering is the process of finding out groups of information from the text documents and cluster these documents into the most relevant groups. Large document corpus suffers from ambiguity problems like synonyms, polysemous and other semantic relations. For this reason we perform WSD task for all terms in all documents to get the best sense to be used as document features in the clustering process.
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