Real-time event extraction for infectious disease outbreaks

  • Authors:
  • Ralph Grishman;Silja Huttunen;Roman Yangarber

  • Affiliations:
  • New York University, New York, NY;New York University, New York, NY;New York University, New York, NY

  • Venue:
  • HLT '02 Proceedings of the second international conference on Human Language Technology Research
  • Year:
  • 2002

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Abstract

We describe a system for creating and automatically updating a data base of information on infectious disease outbreaks. A web crawler is used to retrieve current news stories; potentially relevant stories are fed to an information extraction engine, whose output is used to update the data base. A web-based browser allows users to examine the data base and select records based on date, disease, location, and other fields. The browser can also display the source text from which the data base information is derived. The data base provides an alternative to conventional search engines for retrieving documents in this domain; the advantages and disadvantages of this approach are discussed.