Text-Mining Research Group

The UWB Summariser at Multiling-2013

The paper describes our participation in the Multi-document summarization task of Multiling-2013. The community initiative was born as a pilot task for the Text Analysis Conference in 2011. This year the cor- pus was extended by new three languages and another five topics, covering in total 15 topics in 10 languages. Our summariser is based on latent semantic analysis and it is in principle language independent. Its results on the Multiling-2011 corpus were promising. The generated summaries were ranked first in several languages based on various metrics. The summariser with minor changes was run on the updated 2013 corpus. Although we do not have the man- ual evaluation results yet the ROUGE-2 score indicates good results again. The summariser produced best summaries in 6 from 10 considered languages according to the ROUGE-2 metric.

Keywords: summarization, summarization evaluation, multilinguality

Year: 2013

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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.

Automatic Text Summarisation
Authors:	Josef Steinberger, Karel Ježek, Michal Campr, Jiří Hynek
Desc.:	Automatic text summarisation using various text mining methods, mainly Latent Semantic Analysis (LSA).