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SIGIR
2010
ACM

Improving sentence retrieval with an importance prior

11 years 3 months ago
Improving sentence retrieval with an importance prior
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. Categories and Subject Descriptors: H.3.3 Information Storage and Retrieval: Information Search and Retrieval General Terms: Experimentation, Performance
Leif Azzopardi, Ronald T. Fernández, David
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2010
Where SIGIR
Authors Leif Azzopardi, Ronald T. Fernández, David E. Losada
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