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Computer Science > Computation and Language

arXiv:cs/0107019 (cs)
[Submitted on 16 Jul 2001 (v1), last revised 16 Jul 2001 (this version, v2)]

Title:Applying Natural Language Generation to Indicative Summarization

Authors:Min-Yen Kan, Kathleen R. McKeown, Judith L. Klavans
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Abstract: The task of creating indicative summaries that help a searcher decide whether to read a particular document is a difficult task. This paper examines the indicative summarization task from a generation perspective, by first analyzing its required content via published guidelines and corpus analysis. We show how these summaries can be factored into a set of document features, and how an implemented content planner uses the topicality document feature to create indicative multidocument query-based summaries.
Comments: 8 pages, published in Proc. of 8th European Workshop on NLG
Subjects: Computation and Language (cs.CL)
ACM classes: I.2.7
Cite as: arXiv:cs/0107019 [cs.CL]
  (or arXiv:cs/0107019v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.cs/0107019

Submission history

From: Min-Yen Kan [view email]
[v1] Mon, 16 Jul 2001 22:59:15 UTC (39 KB)
[v2] Mon, 16 Jul 2001 23:21:34 UTC (40 KB)
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Min-Yen Kan
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Judith L. Klavans
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