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Clustering Sentences for Discovering Events in News Articles

  • Martina Naughton
  • Nicholas Kushmerick
  • Joe Carthy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3936)

Abstract

We investigate the use of clustering methods for the task of grouping the text spans in a news article that refer to the same event. We provide evidence that the order in which events are described is structured in a way that can be exploited during clustering. We evaluate our approach on a corpus of news articles describing events that have occurred in the Iraqi War.

Keywords

News Article Hierarchical Agglomerative Cluster News Event Event Label Hierarchical Agglomerative Cluster Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Li, Z., Wang, B., Li, M., Ma, W.Y.: A probabilistic model for retrospective news event detection. In: Proceedings of the 28th annual international ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 106–113. ACM Press, New York (2005)Google Scholar
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    Hatzivassiloglou, V., Klavans, J., Holcombe, M., Barzilay, R., Kan, M.Y., McKeown, R.: A flexible clustering tool for summarisation. In: NAACL Workshop on Automatic Summarisation, pp. 41–49 (2001)Google Scholar
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    Manning, C.D., Schtze, H.: Foundations of Statistical Natural Language Processing. MIT Press, Cambridge (1999)Google Scholar
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    Miller, G.A.E.: Wordnet: An on-line lexical database. International Journal of Lexicography, 235–312 (1990)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Martina Naughton
    • 1
  • Nicholas Kushmerick
    • 1
  • Joe Carthy
    • 1
  1. 1.School of Computer Science and InformaticsUniversity College DublinIreland

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