Prior Knowledge-Based Event Network for Chinese Text
Joint Authors
Shi, Yunyu
Shan, Jianfang
Liu, Xiang
Xia, Yongxiang
Source
International Journal of Digital Multimedia Broadcasting
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-04
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Shi, Yunyu& Shan, Jianfang& Liu, Xiang& Xia, Yongxiang. 2017. Prior Knowledge-Based Event Network for Chinese Text. International Journal of Digital Multimedia Broadcasting،Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1165922
Modern Language Association (MLA)
Shi, Yunyu…[et al.]. Prior Knowledge-Based Event Network for Chinese Text. International Journal of Digital Multimedia Broadcasting No. 2017 (2017), pp.1-5.
https://search.emarefa.net/detail/BIM-1165922
American Medical Association (AMA)
Shi, Yunyu& Shan, Jianfang& Liu, Xiang& Xia, Yongxiang. Prior Knowledge-Based Event Network for Chinese Text. International Journal of Digital Multimedia Broadcasting. 2017. Vol. 2017, no. 2017, pp.1-5.
https://search.emarefa.net/detail/BIM-1165922
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1165922