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Advantages of query biased summaries in information retrieval
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“Prior work in non-academic contexts shows query-relevant summaries at the individual result level can shift effort from opening documents, enabling faster relevance judgments (Tombros & Sanderson, 1998).”
From AI Overviews in Academic Search: Evaluating AI-generated Summaries of Search Results in a Domain-specific Search Engine (2026) · cites this paper as Tombros & Sanderson, 1998
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Research works printed but not linked: 21
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- Callan , J.P. I994. Passage-level evidence in document retrieval. In Croft, W.B., and van Rijbergen, C.J. eds . Proceedings of the Seventeenth Annual ACM SIGIR Conference on Research and Development in Information Retrieval, 302-310 . ACM Press , July 1994 . Callan, J.P. I994. Passage-level evidence in document retrieval. In Croft, W.B., and van Rijbergen, C.J. eds. Proceedings of the Seventeenth Annual ACM SIGIR Conference on Research and Development in Information Retrieval, 302-310. ACM Press, July 1994.
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- Hand , T.F. 1997 . A proposal for a task-based evaluation of text summarisation systems . In Proceedings of the ACL97/EACL97 Workshop on Intelligent Scalable Text Summarisation (ISTS '97) , 31 - 38 . Madrid, Spain , July 11 1997. Hand, T.F. 1997. A proposal for a task-based evaluation of text summarisation systems. In Proceedings of the ACL97/EACL97 Workshop on Intelligent Scalable Text Summarisation (ISTS '97), 31-38. Madrid, Spain, July 11 1997.
- Harman , D. 1996 . Overview of the Filth Text REtrieval Conference (TREC-5). In Proceedings of the Text Retrieval Conference (TREC-5), National {nstitute of Standards and Technology, Gaithersburg, MD 20899 , USA. Harman, D. 1996. Overview of the Filth Text REtrieval Conference (TREC-5). In Proceedings of the Text Retrieval Conference (TREC-5), National {nstitute of Standards and Technology, Gaithersburg, MD 20899, USA.
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Metadata
- Authors
- Tombros, A., & Sanderson, M.
- Affiliations
- Computing Science Department, University of Glasgow, Glasgow G12 8RZ Scotland
- CIIR, Computing Science Department, University of Massachusetts, Amherst, MA
- Venue
- Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 1998-08
- Pages
- 2-10
- Cited by
- 241
- References
- 0
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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