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