In this paper we propose a query expansion method to im- prove 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 au- Tomatically 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 us- ing standard WWP and Kullback Leibler Divergency query expansion approaches have been compared

Colace, F., De Santo, M., Greco, L., Napoletano, P. (2013). A Query Expansion Method based on a Weighted Word Pairs Approach. In Proceedings of the 4th Italian Information Retrieval Workshop (pp.17-28). CEUR.

A Query Expansion Method based on a Weighted Word Pairs Approach

NAPOLETANO, PAOLO
Ultimo
2013

Abstract

In this paper we propose a query expansion method to im- prove 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 au- Tomatically 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 us- ing standard WWP and Kullback Leibler Divergency query expansion approaches have been compared
No
paper
Scientifica
Text retrieval, query expansion, probabilistic topic model
English
Italian Information Retrieval Workshop, IIR 16-17 January
http://ceur-ws.org/Vol-964/
Colace, F., De Santo, M., Greco, L., Napoletano, P. (2013). A Query Expansion Method based on a Weighted Word Pairs Approach. In Proceedings of the 4th Italian Information Retrieval Workshop (pp.17-28). CEUR.
Colace, F; De Santo, M; Greco, L; Napoletano, P
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/56755
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