An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
Computational Linguistics - Special issue on web as corpus
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Mining Text for Expert Witnesses
IEEE Software
Introducing structure management in automatic reference resolution: An XML-based approach
Information Processing and Management: an International Journal
Business applications of unstructured text
Communications of the ACM
Relation discovery from web data for competency management
Web Intelligence and Agent Systems
Generating Value from Textual Discovery
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
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This paper describes how an online directory of expert witnesses was created from jury verdict and settlement documents using text mining techniques. We have created an expert witness directory that contains over 100,000 expert profiles, based on approximately 300,000 jury verdict and settlement documents, publicly available professional license information, an expertise taxonomy, and automatic text mining techniques. This directory can be browsed by area of expertise as well as by location and name. In addition, expert profiles are automatically linked to medline articles and jury verdict and settlement documents. The supporting technologies that made this application possible include information extraction from text via regular expression parsing, record linkage through Bayesian based matching, and automatic rule-based classification. To the best of our knowledge, this is the largest expert witness directory of its kind and the first to be built using automatic text mining techniques.