Event recognition based on co-occurrence concept analysis

Authors:
Yi Zheng;Shi Ying;Yibing Wang
Affiliations:
School of Information Management, Wuhan University, Wuhan, China;The State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China;Third Faculty, Second Artillery Command College, Wuhan, China
Venue:
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Year:
2012

Citing 2
Cited 0

Event Recognition on News Stories and Semi-Automatic Population of an Ontology

WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Extraction of coherent relevant passages using hidden Markov models

ACM Transactions on Information Systems (TOIS)

Quantified Score

Hi-index	0.00

Visualization

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.