Information extraction research and applications: current progress and future directions

Authors:
Andrew Kehler;Jerry R. Hobbs;Douglas Appelt;John Bear;Matthew Caywood;David Israel;Megumi Kameyama;David Martin;Claire Monteleoni
Affiliations:
SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA
Venue:
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Year:
1998

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Abstract

Analysts face a daunting task: they must accurately analyze, categorize, and assimilate a large body of information from a variety of sources and for a variety of domains of interest. The complexity of the task necessitates a variety of information access and extraction tools which technology up to this point has not been able to provide. SRI's TIPSTER Phase III project has focused on two major obstacles to the development of such tools: inadequate degrees of accuracy and portability. We begin by providing an overview of SRI's information extraction (IE) system, FASTUS, and then describe our efforts in these two areas in turn. We then conclude with some thoughts concerning future directions.