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Approaches to passage retrieval in full text information systems
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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Citations
Cited by
COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY
INGWERSEN, P. (1996) · Journal of Documentation · doi:10.1108/eb026960 · Cited by 717
Test Collection Based Evaluation of Information Retrieval Systems
Sanderson, M. (2010) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000009 · Cited by 485
Query evaluation: Strategies and optimizations
Turtle, H., & Flood, J. (1995) · Information Processing & Management · doi:10.1016/0306-4573(95)00020-h · Cited by 305
Fast generation of abstracts from general domain text corpora by extracting relevant sentences
Zechner, K. (1996) · Proceedings of the 16th conference on Computational linguistics - · doi:10.3115/993268.993338 · Cited by 107
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
- The paper
- 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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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.