Sanderson, M. (1998) Accurate user directed summarization from existing tools. In: Makki, K. and Bouganim, L., (eds.) Proceedings of the 7th International Conference on Information and Knowledge Management (CIKM 98). Conference on Information and Knowledge Management, November 02 - 07, 1998, Bethesda, Maryland, United States. ACM , New York , pp. 45-51. ISBN 1-58113-061-9
Abstract
This paper describes a set of experimental results produced from the TIPSTER SUMMAC initiative on user directed summaries: document summaries generated in the context of an information need expressed as a query. The summarizer that was evaluated was based on a set of existing statistical techniques that had been applied successfully to the INQUERY retrieval system. The techniques proved to have a wider utility, however, as the summarizer was one of the better performing systems in the SUMMAC evaluation. The design of this summarizer is presented with a range of evaluations: both those provided by SUMMAC as well as a set of preliminary, more informal, evaluations that examined additional aspects of the summaries. Amongst other conclusions, the results reveal that users can judge the relevance of documents from their summary almost as accurately as if they had had access to the document’s full text.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 1998 ACM. This is an author produced version of the published paper. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | user directed summarization, information retrieval, consistency of relevant judgements |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Repository Officer |
Date Deposited: | 16 Sep 2008 13:05 |
Last Modified: | 08 Feb 2013 16:56 |
Published Version: | http://dx.doi.org/10.1145/288627.288640 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/288627.288640 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:4572 |