Overview of BioCreative II gene mention recognition.
Overview of BioCreative II gene mention recognition.
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DOI：
10.1186/gb-2008-9-s2-s2
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发表时间：
2008
期刊：
影响因子：
12.3
通讯作者：
Wilbur, W. John
中科院分区：
文献类型：
--
作者：
Smith, Larry;Tanabe, Lorraine K.;Johnson Nee Ando, Rie;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., Jr.;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;Mana-Lopez, Manuel;Mata, Jacinto;Wilbur, W. John
19个团队在BioCreative II研讨会上展示了基因提及任务的结果。在这项任务中，参与者设计了识别句子中与提到基因名称相对应的子串的系统。使用了各种不同的方法，结果各不相同，F1的最高得分为0.8721分。在这里，我们简要介绍了所有使用的方法，并对结果进行了统计分析。我们还证明，通过综合所有提交的结果，F分数为0.9066是可行的，而且最好的结果利用了得分最低的提交。
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.
影响因子：
7.5
作者：
Krogel, MA;Scheffer, T
通讯作者：
Scheffer, T
影响因子：
14.9
作者：
Bodenreider, O
通讯作者：
Bodenreider, O
影响因子：
5.8
作者：
Liu, HF;Hu, ZZ;Wu, C
通讯作者：
Wu, C