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Clustering Sentences for Discovering Events in News Articles

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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References

  1. 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)

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  2. 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)

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  3. Manning, C.D., Schtze, H.: Foundations of Statistical Natural Language Processing. MIT Press, Cambridge (1999)

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  4. Miller, G.A.E.: Wordnet: An on-line lexical database. International Journal of Lexicography, 235–312 (1990)

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© 2006 Springer-Verlag Berlin Heidelberg

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Naughton, M., Kushmerick, N., Carthy, J. (2006). Clustering Sentences for Discovering Events in News Articles. In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_59

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  • DOI: https://doi.org/10.1007/11735106_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33347-0

  • Online ISBN: 978-3-540-33348-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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