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, PAOLOUltimo
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
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
