An investigation of broad coverage automatic pronoun resolution for information retrieval

Authors:
Richard J. Edens;Helen L. Gaylard;Gareth J. F. Jones;Adenike M. Lam-Adesina
Affiliations:
University of Exeter, Exeter, U.K.;University of Exeter, Exeter, U.K.;University of Exeter, Exeter, U.K.;University of Exeter, Exeter, U.K.
Venue:
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Year:
2003

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Abstract

Term weighting methods have been shown to give significant increases in information retrieval performance. The presence of pronomial references in documents reduces the term frequencies of associated words with a consequent effect on term weights and information retrieval behaviour. This investigation explores the impact on information retrieval performance of broad coverage automatic pronoun resolution. Results indicate that this approach has potential to improve both precision at fixed cutoff levels and average precision.