Comprehending events from text for situation assessment

Situation assessment becomes more and more popular accompanies the development of information fusion. Event is very important for situation assessment as a basic situation element. But the existing event detection technology can't satisfy the need of situation assessment. A framework of compreh...

Full description

Saved in:
Bibliographic Details
Main Authors: Feng Li, Xinxi Feng, LiFeng Qi
Format: Conference Proceeding
Language:English
Subjects:
Aggregates
Data mining
Event detection
Humans
Information analysis
Internet
Natural Language
Natural languages
Predictive models
Situation Assessment
Spatiotemporal phenomena
State estimation
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Situation assessment becomes more and more popular accompanies the development of information fusion. Event is very important for situation assessment as a basic situation element. But the existing event detection technology can't satisfy the need of situation assessment. A framework of comprehending events from text for situation assessment is proposed. In this framework, events are not only extracted but also associated in order to improve the reliability and exaction; events are organized as clusters to make them clearer; the relations among events are analyzed to understand the underlying truth. The technologies that needed to support the framework are proposed to show the bases of this framework.
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2009.5192034