Abstract
The task of related news detection is to find news articles which discuss events that have been reported in earlier articles. In this paper the notion of “event” in news is extended to be “vague event” and news article is represented using a vector of vague event trees. Then an approach to vague event-based related news detection is presented and an experiment for Chinese sports news detection is designed.
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© 2004 Springer-Verlag Berlin Heidelberg
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Hu, W., Zhang, Dm., Sheng, Hy. (2004). Vague Event-Based Related News Detection. In: Zhou, X., Su, S., Papazoglou, M.P., Orlowska, M.E., Jeffery, K. (eds) Web Information Systems – WISE 2004. WISE 2004. Lecture Notes in Computer Science, vol 3306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30480-7_17
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DOI: https://doi.org/10.1007/978-3-540-30480-7_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23894-2
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