Abstract
We discuss Topic Detection, a sub-task of the Topic Detection and Tracking (TDT) Project, and present a system that uses domain-informed techniques to group news reports into clusters that capture the narrative of events in the news domain. We present an initial evaluation of this system, and describe an application of these techniques for the clustering of live news feeds. We conclude that these approaches promise more coherent and useful clusters and suggest some areas of future work.
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Flynn, C., Dunnion, J. (2004). Event Clustering in the News Domain. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2004. Lecture Notes in Computer Science(), vol 3206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30120-2_9
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DOI: https://doi.org/10.1007/978-3-540-30120-2_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23049-6
Online ISBN: 978-3-540-30120-2
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