Improving sentence retrieval with an importance prior

Azzopardi, L., Fernández, R. and Losada, D. (2010) Improving sentence retrieval with an importance prior. In: 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva, Switzerland, 19-23 Jul 2010, ISBN 9781450301534 (doi:10.1145/1835449.1835612)

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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.

Item Type:Conference Proceedings
Keywords:sentence retrieval, language models
Glasgow Author(s) Enlighten ID:Azzopardi, Dr Leif
Authors: Azzopardi, L., Fernández, R., and Losada, D.
Subjects:Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science

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