Abstract
This paper proposes a kind of event recognition technique on news events which analyzes the words in the news documents using co-occurrence analysis for mining the key meta-event, and realizes more pervasive event recognition by leveraging on Markov chain. This approach overcomes the over-sensitivity problems in the traditional event recognition domain based on the words, and it can adapt to intelligent recognition of news event in different domains.
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Zheng, Y., Ying, S., Wang, Y. (2013). Event Recognition Based on Co-occurrence Concept Analysis. In: Ji, D., Xiao, G. (eds) Chinese Lexical Semantics. CLSW 2012. Lecture Notes in Computer Science(), vol 7717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36337-5_12
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DOI: https://doi.org/10.1007/978-3-642-36337-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36336-8
Online ISBN: 978-3-642-36337-5
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