DocumentCode :
3309173
Title :
VnLoc: A Real -- Time News Event Extraction Framework for Vietnamese
Author :
Tran, Mai-Vu ; Nguyen, Minh-Hoang ; Nguyen, Sy-Quan ; Nguyen, Minh-Tien ; Phan, Xuan-Hieu
Author_Institution :
KTLab, Vietnam Nat. Univ., Hanoi, Vietnam
fYear :
2012
fDate :
17-19 Aug. 2012
Firstpage :
161
Lastpage :
166
Abstract :
Event Extraction is a complex and interesting topic in Information Extraction that includes event extraction methods from free text or web data. The result of event extraction systems can be used in several fields such as risk analysis systems, online monitoring systems or decide support tools. In this paper, we introduce a method that combines lexico -- semantic and machine learning to extract event from Vietnamese news. Furthermore, we concentrate to describe event online monitoring system named VnLoc based on the method that was proposed above to extract event in Vietnamese language. Besides, in experiment phase, we have evaluated this method based on precision, recall and F1 measure. At this time of experiment, we on investigated on three types of event: FIRE, CRIME and TRANSPORT ACCIDENT.
Keywords :
Internet; information retrieval; learning (artificial intelligence); natural language processing; text analysis; F1 measure; Vietnamese language; Vietnamese news; VnLoc; Web data; crime; decide support tools; event extraction method; event online monitoring system; fire; free text; information extraction; lexico-semantic learning; machine learning; precision; real-time news event extraction framework; recall; risk analysis system; transport accident; Data mining; Detectors; Entropy; Feature extraction; Fires; Machine learning; Monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge and Systems Engineering (KSE), 2012 Fourth International Conference on
Conference_Location :
Danang
Print_ISBN :
978-1-4673-2171-6
Type :
conf
DOI :
10.1109/KSE.2012.34
Filename :
6299414
Link To Document :
بازگشت