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  4. Overview of BioCreative II gene mention recognition
 
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2008
Journal Article
Title

Overview of BioCreative II gene mention recognition

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.
Author(s)
Smith, L.
Tanabe, L.K.
Johnson nee Ando, R.
Juo, C.-J.
Chung, I.-F.
Hsu, C.-N.
Lin, Y.-S.
Klinger, R.
Friedrich, C.M.
Ganchev, K.
Torii, M.
Liu, H.
Haddow, B.
Struble, C.A.
Povinelli, R.J.
Vlachos, A.
Baumgartner, W.A.
Hunter, L.
Carpenter, B.
Tsai, R.T.
Dai, H.J.
Liu, F.
Chen, Y.
Sun, C.
Katrenko, S.
Adriaans, P.
Blaschke, C.
Torres Perez, R.
Neves, M.
Nakov, P.
Divoli, A.
Mana, M.
Mata-Vazquez, J.
Wilbur, J.
Journal
Genome biology  
Conference
Conference "The BioCreative II - Critical Assessment for Information Extraction in Biology Challenge" 2007  
Open Access
File(s)
Download (297.3 KB)
DOI
10.1186/gb-2008-9-s2-s2
10.24406/publica-r-217373
Additional link
Full text
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
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