Title: Enhancing N-Gram-based Summary Evaluation Using Information Content and a Taxonomy
Authors: KABADJOV MIJAILSTEINBERGER JOSEFSTEINBERGER RalfPOESIO MassimoPOULIQUEN Bruno
Citation: LECTURE NOTES IN COMPUTER SCIENCE vol. 5993 p. 662-666
Publisher: SPRINGER-VERLAG BERLIN
Publication Year: 2010
JRC Publication N°: JRC56061
ISSN: 0302-9743
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC56061
Type: Contributions to Conferences
Abstract: In this paper we propose a novel information-theoretic metric for automatic summary evaluation when model summaries are available as in the setting of the AESOP task of the Update Summarization track of the Text Analysis Conference (TAC). The metric is based on the concept of information content operationalised by using a taxonomy. Hereby, we present and discuss the results obtained at TAC 2009.
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