Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation

Authors:
Youjin Chang;Jun Wang;Mounia Lalmas
Affiliations:
Queen Mary, University of London, London, UK E1 4NS;Queen Mary, University of London, London, UK E1 4NS;Queen Mary, University of London, London, UK E1 4NS
Venue:
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Year:
2008

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Abstract

This paper proposes an approach for query reformulation based on the generation of appropriate query-biased concepts. Query-biased concepts are generated from retrieved documents using their content and structure. In this paper, we focus on three aspects of the concept generation; the selection of query-biased concepts from retrieved documents, the effect of the structure, and the number of retrieved documents used for generating the concepts.