Overview of BioCreative II gene mention recognition

Open Access
Authors
  • L. Smith
  • L.K. Tanabe
  • R. Johnson
  • C.-J. Kuo
  • I-F. Chung
  • C.-N. Hsu
  • Y.-S. Lin
  • R. Klinger
  • C.M. Friedrich
  • K. Ganchev
  • M. Torii
  • H. Liu
  • B. Haddow
  • C.A. Struble
  • R.J. Povinelli
  • A. Vlachos
  • W.A. Baumgartner (jr.)
  • L. Hunter
  • B. Carpenter
  • R.T.-H. Tsai
  • H.-J. Dai
  • F. Liu
  • Y. Chen
  • C. Sun
  • S. Katrenko
  • P. Adriaans
  • C. Blaschke
  • R. Torres
  • M. Neves
  • P. Nakov
  • A. Divoli
  • M. Maña-López
  • J. Mata
  • W.J. Wilbur
Publication date 2008
Journal Genome Biology
Volume | Issue number 9 | Suppl 2
Pages (from-to) S2
Number of pages 19
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. In this task participants designed systems to identify substrings in sentences corresponding to gene name mentions. A variety of different methods were used and the results varied with a highest achieved F1 score of 0.8721. Here we present brief descriptions of all the methods used and a statistical analysis of the results. We also demonstrate that, by combining the results from all submissions, an F score of 0.9066 is feasible, and furthermore that the best result makes use of the lowest scoring submissions.
Document type Article
Published at https://doi.org/10.1186/gb-2008-9-s2-s2
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