Introduction to information extraction
AI Communications
Extracting information about outbreaks of infectious epidemics
HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
Real-time event extraction for infectious disease outbreaks
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Real-Time News Event Extraction for Global Crisis Monitoring
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
Near real time information mining in multilingual news
Proceedings of the 18th international conference on World wide web
Event Extraction for Italian Using a Cascade of Finite-State Grammars
Proceedings of the 2009 conference on Finite-State Methods and Natural Language Processing: Post-proceedings of the 7th International Workshop FSMNLP 2008
Online news event extraction for global crisis surveillance
Transactions on computational collective intelligence V
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An ever-growing amount of information relevant for early detection of certain threats can be extracted from on-line news. This led to an emergence of news mining tools to help analysts to digest the overflow of information and to extract valuable knowledge from on line news sources. This paper gives an overview of the fully operational Real-time News Event Extraction Framework developed for Frontex, the EU Border Agency, to facilitate the process of extracting structured information on border security-related events from on-line news. In particular, a hybrid event extraction system has been constructed, which is applied to the stream of news articles continuously gathered and pre-processed by the Europe Media Monitor - a large-scale multilingual news aggregation engine. The framework consists also of an earth browser, in which events are visualized and an event moderation tool, which allows to access the database of automatically extracted event descriptions and to clean, validate, group, enhance and export them into other knowledge repositories.