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Information Retrieval Based on Word Senses (1995)
| Citations: | 105 - 0 self |
BibTeX
@MISC{Schütze95informationretrieval,
author = {Hinrich Schütze and Jan O. Pedersen},
title = {Information Retrieval Based on Word Senses},
year = {1995}
}
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Abstract
This paper proposes an algorithm for word sense disambiguation based on a vector representation of word similarity derived from lexical co-occurrence. It differs from standard approaches by allowing for as fine grained distinctions as is warranted by the information at hand, rather than supposing a fixed number of senses per word, and by allowing for more than one sense to be assigned to a given word occur-rance. The algorithm is applied to the standard vectorspace information retrieval model and an evaluation is performed over the Category B TREC-1 corpus (WSJ subcollection). Results show that this sense disambiguation algorithm improves performance by between 7o and 1o on aver-age.
