Lexical cohesion and term proximity in document ranking |
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| Authors: | Olga Vechtomova Murat Karamuftuoglu |
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| Institution: | 1. Department of Management Sciences, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3GE;2. Department of Computer Engineering, Bilkent University, Bilkent 06800 Ankara, Turkey |
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| Abstract: | We demonstrate effective new methods of document ranking based on lexical cohesive relationships between query terms. The proposed methods rely solely on the lexical relationships between original query terms, and do not involve query expansion or relevance feedback. Two types of lexical cohesive relationship information between query terms are used in document ranking: short-distance collocation relationship between query terms, and long-distance relationship, determined by the collocation of query terms with other words. The methods are evaluated on TREC corpora, and show improvements over baseline systems. |
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| Keywords: | Information retrieval Lexical cohesion Term proximity |
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