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Related Experiment Videos

Event extraction from biomedical papers using a full parser.

A Yakushiji1, Y Tateisi, Y Miyao

  • 1Department of Information Science, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|March 27, 2001
PubMed
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This study introduces an information extraction system for the biomedical domain, improving text analysis efficiency and accuracy. The system uses preprocessors and modular design to handle parsing challenges, enhancing biomedical data processing.

Area of Science:

  • Natural Language Processing
  • Bioinformatics
  • Computational Linguistics

Background:

  • Biomedical text analysis presents challenges in efficiency, ambiguity, and coverage.
  • General-purpose parsers often struggle with the complexity of the biomedical domain.
  • Existing information extraction (IE) systems require domain-specific tuning and maintenance.

Purpose of the Study:

  • To investigate the feasibility of full text analysis in the biomedical domain using a general-purpose parser.
  • To develop and implement an information extraction system addressing parsing inefficiencies and ambiguities.
  • To propose a modular system design for improved maintainability and domain adaptability.

Main Methods:

  • Designed and implemented an information extraction system employing a full parser.

Related Experiment Videos

  • Introduced preprocessors to mitigate issues of inefficiency, ambiguity, and low coverage.
  • Developed modules to process partial parsing results for enhanced accuracy.
  • Modularized the system for easier tuning, maintenance, and improvement.

    • Main Results:

    • Preliminary experiments extracted 23% of argument structures uniquely and 24% with ambiguity.
    • An additional 20% of argument structures were extractable from partial parsing results.
    • The system demonstrated improved handling of parsing inefficiencies and ambiguities.

    Conclusions:

    • The proposed information extraction system is plausible for full text analysis in the biomedical domain.
    • The modular design facilitates system adaptation, maintenance, and integration of advanced techniques.
    • Partial parsing results contribute significantly to overall information extraction accuracy.