Paper Info
Title
Multilingual Statistical News Summarisation: Preliminary Experiments with English
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.
Year
DOI
Venue
2009
10.1109/WI-IAT.2009.339
Web Intelligence/IAT Workshops
Keywords
Field
DocType
preliminary experiments,multilingual statistical news summarisation,singular value decomposition,visualization,robustness,text mining,intelligent agent,robust statistics,latent semantic analysis
Data mining,Intelligent agent,Information retrieval,Ranking,Computer science,Visualization,Natural language processing,Artificial intelligence,Latent semantic analysis,Europe media monitor
Conference
Citations 
PageRank 
References 
4
0.47
13
Authors
5
Name
Order
Citations
PageRank
Mijail Kabadjov117711.93
josef steinberger235526.95
Bruno Pouliquen367858.19
Ralf Steinberger494979.70
Massimo Poesio51869170.68