Title: Enhancing N-Gram-based Summary Evaluation Using Information Content and a Taxonomy
Authors: KABADJOV MIJAILSTEINBERGER JOSEFSTEINBERGER RalfPOESIO MassimoPOULIQUEN Bruno
Publisher: Springer-Verlag
Publication Year: 2010
JRC Publication N°: JRC63160
ISBN: 978-3-642-12274-3
ISSN: 0302-9743
URI: http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-642-12274-3
http://publications.jrc.ec.europa.eu/repository/handle/JRC63160
DOI: 10.1007/978-3-642-12275-0
Type: Articles in books
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 operationalized by using a taxonomy. Hereby, we present and discuss the results obtained at TAC 2009.
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