Readings in natural language processing
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
A novel use of statistical parsing to extract information from text
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
A methodology for extrinsically evaluating information extraction performance
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Towards knowledge acquisition from information extraction
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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The FactBrowser demonstration illustrates automatic database update from live feeds based on information extraction from text and the ability to browse the resulting database for unexpected connections. The technology used has four interesting features:1. The demonstration employs a light architecture based on the Web; using an XML-based client-server architecture, the graphical user interface requires only Internet Explorer 5.0 or higher. No application code resides on the client.2. A permanent database grows based on cross-document entity tracking and accumulating facts.3. The database is updated daily based on automatic processing of documents distributed by the Foreign Broadcasting Information Service (FBIS). Document capture and database update are fully automatic, requiring no human intervention.4. The following key components: name finding, parsing, and pronoun resolution are all based on the trained, language-independent statistical modeling techniques.The strategic focus throughout the design of FactBrowser has been on producing high precision output so as to maintain quality in the data base.