relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/100/
title: VnLoc: A Real — Time News Event Extraction Framework for Vietnamese
creator: Tran, Mai Vu
creator: Nguyen, Minh Hoang
creator: Nguyen, Sy Quan
creator: Nguyen, Minh Tien
creator: Phan, Xuan Hieu
subject: Information Technology (IT)
description: 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.
date: 2012-08-17
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Tran, Mai Vu and Nguyen, Minh Hoang and Nguyen, Sy Quan and Nguyen, Minh Tien and Phan, Xuan Hieu  (2012) VnLoc: A Real — Time News Event Extraction Framework for Vietnamese.  In: 2012 Fourth International Conference on Knowledge and Systems Engineering (KSE), 17-19 August 2012, Danang, Vietnam.