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.
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Chang, Y., Wang, J., Lalmas, M. (2008). Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_14
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DOI: https://doi.org/10.1007/978-3-540-69858-6_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69857-9
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