Bioinformatics Vol. 18 no. 12 2002
Pages 1553-1561
© 2002 Oxford University Press
Review |
Accomplishments and challenges in literature data mining for biology
1 The MITRE Corporation, USA
2 KAIST, Korea
3 University of Tokyo, Japan
4 LIT, Singapore
5 Georgetown University Medical Center,
USA
Received on January 28, 2002
; revised on May 20, 2002
; accepted on May 23, 2002
We review recent results in literature data mining for biology and discuss the need and the steps for a challenge evaluation for this field. Literature data mining has progressed from simple recognition of terms to extraction of interaction relationships from complex sentences, and has broadened from recognition of protein interactions to a range of problems such as improving homology search, identifying cellular location, and so on. To encourage participation and accelerate progress in this expanding field, we propose creating challenge evaluations, and we describe two specific applications in this context.
Contact: wuc{at}georgetown.edu tsujii{at}is.s.u-tokyo.ac.jp park{at}nlp.kaist.ac.kr lynette{at}mitre.org limsoon{at}lit.org.sg
* To whom correspondence should be addressed.
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