Enhancing N-Gram-based Summary Evaluation Using Information Content and a Taxonomy
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.
KABADJOV Mijail;
STEINBERGER Josef;
STEINBERGER Ralf;
POESIO Massimo;
POULIQUEN Bruno;
2010-04-14
SPRINGER-VERLAG BERLIN
JRC56061
0302-9743,
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