Improving sentence retrieval with an importance prior

Authors:
Leif Azzopardi;Ronald T. Fernández;David E. Losada
Affiliations:
University of Glasgow, Glasgow, United Kingdom;University of Santiago de Compostela, Santiago de Compostela, Spain;University of Santiago de Compostela, Santiago de Compostela, Spain
Venue:
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Year:
2010

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Abstract

The retrieval of sentences is a core task within Information Retrieval. In this poster we employ a Language Model that incorporates a prior which encodes the importance of sentences within the retrieval model. Then, in a set of comprehensive experiments using the TREC Novelty Tracks, we show that including this prior substantially improves retrieval effectiveness, and significantly outperforms the current state of the art in sentence retrieval.