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AUTOMATIC EVALUATION OF SUMMARIES USING DOCUMENT GRAPHS

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.
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 Pages
PP. 66-73
Research Rank
3
Research Year
2004