In this paper we propose a query expansion method to improve accuracy of a text retrieval system. Our technique makes use of explicit relevance feedback to expand an initial query with a structured representation called Weighted Word Pairs. Such a structure can be automatically extracted from a set of documents and uses a method for term extraction based on the probabilistic Topic Model. Evaluation has been conducted on TREC-8 repository and performances obtained using standard WWP and Kullback Leibler Divergency query expansion approaches have been compared

A Query Expansion Method based on a Weighted Word Pairs Approach

COLACE, Francesco;DE SANTO, Massimo;GRECO, LUCA;NAPOLETANO, PAOLO
2013-01-01

Abstract

In this paper we propose a query expansion method to improve accuracy of a text retrieval system. Our technique makes use of explicit relevance feedback to expand an initial query with a structured representation called Weighted Word Pairs. Such a structure can be automatically extracted from a set of documents and uses a method for term extraction based on the probabilistic Topic Model. Evaluation has been conducted on TREC-8 repository and performances obtained using standard WWP and Kullback Leibler Divergency query expansion approaches have been compared
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4040655
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