Multilingual Statistical News Summarisation: Preliminary Experiments with English

—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. Keywords-Text Summarisation; Multilingual Text Mining; Entity Disambiguation; Latent Semantic Analysis;

• Type: Conference
• Year: 2009
• Where: IAT
• Authors: Mijail Alexandrov Kabadjov, Josef Steinberger, Bruno Pouliquen, Ralf Steinberger, Massimo Poesio
• Keywords: Entity Disambiguation, IAT 2009, Intelligent Agent, Multilingual Entity Disambiguation, Summarisation Step