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Approaches to passage retrieval in full text information systems

Salton, Gerard, Allan, J., Buckley, Chris·1993·Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93

Abstract

Large collections of full-text documents are now commonly used in automated information retrieval. When the stored document texts are long, the retrieval of complete documents may not be in the users' best interest. In such circumstance, efficient and effective retrieval results may be obtained by using passage retrieval strategies designed to retrieve text excerpts of varying size in response to statements of user interest.

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Metadata

Authors
Salton, G., Allan, J., & Buckley, C.
Venue
Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93
Publisher
ACM Press
Published
1993
Pages
49-58
OpenAlex
W2046983134
Cited by
384
References
0
FWCI
18.24
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Approaches to passage retrieval in full text information systems. https://app.cochat.ai/papers/10.1145/160688.160693
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Salton, G., Allan, J., & Buckley, C. (1993). Approaches to passage retrieval in full text information systems. Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93. https://doi.org/10.1145/160688.160693

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.