Lexical cohesion and term proximity in document ranking
Date
2008-07Source Title
Information Processing & Management
Print ISSN
0306-4573
Publisher
Elsevier Ltd
Volume
44
Issue
4
Pages
1485 - 1502
Language
English
Type
ArticleItem Usage Stats
123
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101
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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. © 2008 Elsevier Ltd. All rights reserved.
Keywords
Information retrievalLexical cohesion
Term proximity
Feedback
Query processing
Baseline systems
Short-distance collocation
Program documentation