A graph based approach to estimating lexical cohesion
Author
Gürkök, Hayrettin
Karamuftuoglu, Murat
Schaal, Markus
Date
2008Source Title
IIIX '08 Proceedings of the second international symposium on Information interaction in context
Publisher
ACM
Pages
35 - 43
Language
English
Type
Conference PaperItem Usage Stats
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Show full item recordAbstract
Traditionally, information retrieval systems rank documents according to the query terms they contain. However, even if a document may contain all query terms, this does not guarantee that it is relevant to the query. The query terms can occur together in the same document, but may have been used in different contexts, expressing separate topics. Lexical cohesion is a characteristic of natural language texts, which can be used to determine whether the query terms are used in the same context in the document. In this paper we make use of a graph-based approach to capture term contexts and estimate the level of lexical cohesion in a document. To evaluate the performance of our system, we compare it against two benchmark systems using three TREC document collections. Copyright 2008 ACM.
Keywords
Contextual information retrievalLexical cohesion
Term proximity
Adhesion
Information retrieval systems
Information services
Benchmark systems
Contextual information retrieval
Document collections
Graph-based
Lexical cohesion
Natural language texts
Query terms
Term proximity
Information retrieval
Permalink
http://hdl.handle.net/11693/26772Published Version (Please cite this version)
http://dx.doi.org/10.1145/1414694.1414704Collections
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