Type-Based Query Expansion for Sentence Retrieval
Authors: 
Keke Cai, Chun Chen, Jiajun Bu, Guang QiuAuthors Info & Claims
Pages 684 - 691
Abstract
In this paper, a novel sentence retrieval model with type-based expansion is proposed. In this retrieval model, sentences expected to be relevant should meet with the requirements both in query terms and query types. To obtain the information about query types, this paper proposes a solution based on classification, which utilizes the potential associations between terms and information types to obtain the optimized classification results. Inspired by the idea that relevant sentences always tend to occur nearby, this paper further re-ranks each sentence by considering the relevance of its adjacent sentences. The proposed retrieval model has been compared with other traditional retrieval models and experiment results indicate its significant improvements in retrieval effectiveness.
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- Type-Based Query Expansion for Sentence Retrieval
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Published In
May 2007
1253 pages
ISBN:9783540725831
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 27 May 2007
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