PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

AutoSummENG and MeMoG in Evaluating Guided Summaries
George Giannakopoulos and Vangelis Karkaletsis
In: TAC 2011, 14-15 Nov 2011, Gaithersburg, MD, USA.

Abstract

Within this article, we present the application of the AutoSummENG and MeMoG methods within the TAC 2011 AESOP challenge. Both evaluation methods are based on n-gram graphs. The experiments indicate that both methods offer very high performance in different aspects of evaluation, without the need of deep analysis or preprocessing. The results also imply some interesting open problems and point to further directions of study, related to negative examples of good summaries.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:9326
Deposited By:George Giannakopoulos
Deposited On:16 March 2012