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International Journal of Digital Multimedia Broadcasting
Volume 2017 (2017), Article ID 8594863, 5 pages
Research Article

Prior Knowledge-Based Event Network for Chinese Text

1School of Electronic & Electric Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Songjiang District, Shanghai, China
2School of Information, Qilu University of Technology, 3501 Daxue Road, Changqing District, Jinan, China

Correspondence should be addressed to Jianfang Shan; moc.361@nahsfjs

Received 13 January 2017; Accepted 7 May 2017; Published 4 June 2017

Academic Editor: Hyo-Jong Lee

Copyright © 2017 Yunyu Shi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Text representation is a basic issue of text information processing and event plays an important role in text understanding; both attract the attention of scholars. The event network conceals lexical relations in events, and its edges express logical relations between events in document. However, the events and relations are extracted from event-annotated text, which makes it hard for large-scale text automatic processing. In the paper, with expanded CEC (Chinese Event Corpus) as data source, prior knowledge of manifestation rules of event and relation as the guide, we propose an event extraction method based on knowledge-based rule of event manifestation, to achieve automatic building and improve text processing performance of event network.