A Mutually Beneficial Integration of Data Mining and Information Extraction
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Information extraction for enhanced access to disease outbreak reports
Journal of Biomedical Informatics - Special issue: Sublanguage
Unsupervised learning of generalized names
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Counter-training in discovery of semantic patterns
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Redundancy-based correction of automatically extracted facts
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Redundancy-based correction of automatically extracted facts
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Real-time text mining in multilingual news for the creation of a pre-frontier intelligence picture
ACM SIGKDD Workshop on Intelligence and Security Informatics
Frontex real-time news event extraction framework
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
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This work demonstrates the ProMED-PLUS Epidemiological Fact Base. The facts are automatically extracted from plain-text reports about outbreaks of infectious epidemics around the world. The system collects new reports, extracts new facts, and updates the database, in real time. The extracted database is available on-line through a Web server.