LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

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Title Evaluating Summaries for Multiple Documents in an Interactive Environment

Authors Stein Gees C. (General Electric, Corporate R&D, 1 Research Circle, Niskayuna, NY 12309, USA, steing@crd.ge.com)
Strzalkowski Tomek (General Electric, Corporate R&D, 1 Research Circle, Niskayuna, NY 12309, USA, strzalkowski@crd.ge.com)
Wise G. Bowden (General Electric, Corporate R&D, 1 Research Circle, Niskayuna, NY 12309, USA, wisegb@crd.ge.com)
Bagga Amit (GE Corporate Research and Development, 1 Research Circle, Niskayuna, NY 12309. USA, bagga@crd.ge.com)

Keywords Clustering, Evaluation, Multi-Document Summarization, Topic Detection

Session Session EP1 - Evaluation and Written Area

Abstract While most people have a clear idea of what a single document summary should look like, this is not immediately obvious for a multi-document summary. There are many new questions to answer concerning the amount of documents to be summarized, the type of documents, the kind of summary that should be generated, the way the summary gets presented to the user, etc. The many approaches possible to multi-document summarization makes evaluation especially difficult. In this paper we will describe an approach to multi-document summarization and report work on an evaluation method for this particular system.

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Title	Evaluating Summaries for Multiple Documents in an Interactive Environment
Authors	Stein Gees C. (General Electric, Corporate R&D, 1 Research Circle, Niskayuna, NY 12309, USA, steing@crd.ge.com) Strzalkowski Tomek (General Electric, Corporate R&D, 1 Research Circle, Niskayuna, NY 12309, USA, strzalkowski@crd.ge.com) Wise G. Bowden (General Electric, Corporate R&D, 1 Research Circle, Niskayuna, NY 12309, USA, wisegb@crd.ge.com) Bagga Amit (GE Corporate Research and Development, 1 Research Circle, Niskayuna, NY 12309. USA, bagga@crd.ge.com)
Keywords	Clustering, Evaluation, Multi-Document Summarization, Topic Detection
Session	Session EP1 - Evaluation and Written Area
Abstract	While most people have a clear idea of what a single document summary should look like, this is not immediately obvious for a multi-document summary. There are many new questions to answer concerning the amount of documents to be summarized, the type of documents, the kind of summary that should be generated, the way the summary gets presented to the user, etc. The many approaches possible to multi-document summarization makes evaluation especially difficult. In this paper we will describe an approach to multi-document summarization and report work on an evaluation method for this particular system.