Information Extraction Research and Applications: Current Progress and Future Directions

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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1998
Accession Number
ADA631273

Entities

People

  • Andrew Kehler
  • Claire Monteleoni
  • David C. Martin
  • David Israel
  • Douglas Appelt
  • Jerry R. Hobbs
  • John Bear
  • Matthew Caywood
  • Megumi Kameyama

Organizations

  • SRI International

Tags

Communities of Interest

  • Autonomy
  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computational Linguistics
  • Computational Science
  • Data Analysis
  • Extraction
  • Language
  • Linguistics
  • Machine Learning
  • Natural Language Processing
  • Natural Languages
  • Ontologies
  • Pattern Recognition
  • Probabilistic Models
  • Recognition
  • Supervised Machine Learning
  • Training

Readers

  • Computational Linguistics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy