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
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 comparedFile in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.