Title: Multilingual Statistical News Summarisation: Preliminary Experiments with English
Authors: KABADJOV MIJAILSTEINBERGER JosefPOULIQUEN BrunoSTEINBERGER RalfPOESIO Massimo
Citation: 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Proceedings - ISBN: 978-0-7695-3801-3 p. 519-522
Publisher: IEEE Computer Society
Publication Year: 2009
JRC Publication N°: JRC52748
URI: http://www.wi-iat09.disco.unimib.it/
http://publications.jrc.ec.europa.eu/repository/handle/JRC52748
DOI: 10.1109/WI-IAT.2009.340
Type: Contributions to Conferences
Abstract: In this paper we present a generic approach for summarising multilingual news clusters such as the ones produced by the Europe Media Monitor (EMM) system. It is generic because it uses robust statistical techniques to perform the summarisation step and its multilinguality is inherited from the multilingual entity disambiguation system used to build the source representation. We ran preliminary experiments with the TAC 2008 data, an English corpus for summarisation research, and we obtained promising improvements over a summarisation system ranked in the top 20% at the TAC 2008 competition.
JRC Institute:Institute for the Protection and Security of the Citizen

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