Unsupervised event extraction from biomedical text based on event and pattern information

Hong W. Chun, Young Sook Hwang, Hae-Chang Rim

Research output: Contribution to journalArticle


In this paper, we proposed a new event extraction method from biomedical texts. It can extend patterns by unsupervised way based on event and pattern information. Evaluation of our system on GENIA corpus achieves 90.1% precision and 70.0% recall.

Original languageEnglish
Pages (from-to)533-536
Number of pages4
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2004 Dec 1


ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this