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AUTOMATIC EVALUATION OF SUMMARIES USING DOCUMENT GRAPHS

Research Authors
E. J. SANTOS, A. A. MOHAMED, AND Q. ZHAO
Research Department
Research Journal
IN PROCEEDINGS OF TEXT SUMMARIZATION BRANCHES OUT: PROCEEDINGS OF THE ACL-04 WORKSHOP, BARCELONA, SPAIN
Research Rank
3
Research Year
2004
Research_Pages
PP. 66-73
Research Abstract

Summarization evaluation has been always
a challenge to researchers in the
document summarization field. Usually,
human involvement is necessary to evaluate
the quality of a summary. Here we
present a new method for automatic evaluation
of text summaries by using document
graphs. Data from Document
Understanding Conference 2002 (DUC-
2002) has been used in the experiment.
We propose measuring the similarity between
two summaries or between a summary
and a document based on the
concepts/entities and relations between
them in the text.