JRC’s Participation in the Guided Summarization Task at TAC 2010

JRC's Participation in the Guided Summarization Task at TAC 2010

In this paper we describe our participation in the Guided SummarizationTask at the Text Analysis Conference 2010 (TAC'10). The goal of the task was toencourage a deeper semantic analysis of the source documents instead of relying onlyon document word frequencies to select important concepts. We used the output ofour event extraction system and automatic learning of semantically-related terms tocapture the required aspects of each particular article category. We submitted tworuns: the rst uses information extraction tools in combination with co-occurrence offeatures, the second uses only co-occurrence information. In the following sections wedescribe our runs and discuss the results attained.

Year: 2011

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Authors of this publication:

Josef Steinberger

E-mail: jstein@kiv.zcu.cz

Josef is an associated professor at the Department of computer science and engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in media monitoring and analysis, mainly automatic text summarisation, sentiment analysis and coreference resolution.

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Automatic Text Summarisation

Authors:  Josef Steinberger, Karel Je┼żek, Michal Campr, Ji┼Ö├ş Hynek
Desc.:Automatic text summarisation using various text mining methods, mainly Latent Semantic Analysis (LSA).