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A comparison of various approaches for using probabilistic dependencies in language modeling.

Bruza, Peter; Song, Dawei

Authors

Peter Bruza

Dawei Song

Abstract

The goals of this article is to study several estimates of relevance models which will be computed based on differing approaches for incorporating term dependency information. In this way, we hope to shed light on the relative merits of term dependency information, as well as provide a theoretical framework for such investigations.

Presentation Conference Type Poster
Start Date Jul 28, 2003
Publisher Association for Computing Machinery
Pages 419-420
Institution Citation BRUZA, P. and SONG, D. 2003. A comparison of various approaches for using probabilistic dependencies in language modeling. In Proceedings of the 26th Annual international Association of Computing Machinery Special Interest Group on Information Retrieval (ACM SIGIR) conference on research and development in information retrieval (SIGIR'03), 28 July - 1 August 2003, Toronto, Canada. New York: ACM [online], pages 419-420. Available from: https://doi.org/10.1145/860435.860530
DOI https://doi.org/10.1145/860435.860530
Keywords Probabilistic tendencies; Hyperspace analogue to language; Information flow

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