Overview of BioCreative II gene mention recognition
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 F 1 s...
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creator | Smith, Larry Tanabe, Lorraine K Ando, Rie Johnson nee Kuo, Cheng-Ju Chung, I-Fang Hsu, Chun-Nan Lin, Yu-Shi Klinger, Roman Friedrich, Christoph M Ganchev, Kuzman Torii, Manabu Liu, Hongfang Haddow, Barry Struble, Craig A Povinelli, Richard J Vlachos, Andreas Baumgartner, William A Hunter, Lawrence Carpenter, Bob Tsai, Richard Tzong-Han Dai, Hong-Jie Liu, Feng Chen, Yifei Sun, Chengjie Katrenko, Sophia Adriaans, Pieter Blaschke, Christian Torres, Rafael Neves, Mariana Nakov, Preslav Divoli, Anna Maña-López, Manuel Mata, Jacinto Wilbur, W John |
description | 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 F
1
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. |
doi_str_mv | 10.1186/gb-2008-9-s2-s2 |
format | Article |
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1
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1
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1
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title | Overview of BioCreative II gene mention recognition |
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