Title |
Overview of BioCreative II gene mention recognition
|
---|---|
Published in |
Genome Biology, September 2008
|
DOI | 10.1186/gb-2008-9-s2-s2 |
Pubmed ID | |
Authors |
Larry Smith, Lorraine K Tanabe, Rie Johnson nee Ando, Cheng-Ju Kuo, I-Fang Chung, Chun-Nan Hsu, Yu-Shi Lin, Roman Klinger, Christoph M Friedrich, Kuzman Ganchev, Manabu Torii, Hongfang Liu, Barry Haddow, Craig A Struble, Richard J Povinelli, Andreas Vlachos, William A Baumgartner, Lawrence Hunter, Bob Carpenter, Richard Tzong-Han Tsai, Hong-Jie Dai, Feng Liu, Yifei Chen, Chengjie Sun, Sophia Katrenko, Pieter Adriaans, Christian Blaschke, Rafael Torres, Mariana Neves, Preslav Nakov, Anna Divoli, Manuel Maña-López, Jacinto Mata, W John Wilbur |
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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 4% |
Spain | 4 | 2% |
Netherlands | 2 | 1% |
Germany | 2 | 1% |
United Kingdom | 2 | 1% |
Switzerland | 1 | <1% |
Portugal | 1 | <1% |
Australia | 1 | <1% |
Denmark | 1 | <1% |
Other | 0 | 0% |
Unknown | 151 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 37 | 22% |
Student > Master | 34 | 20% |
Researcher | 33 | 19% |
Student > Bachelor | 8 | 5% |
Professor | 6 | 4% |
Other | 24 | 14% |
Unknown | 29 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 70 | 41% |
Agricultural and Biological Sciences | 20 | 12% |
Biochemistry, Genetics and Molecular Biology | 7 | 4% |
Engineering | 7 | 4% |
Medicine and Dentistry | 7 | 4% |
Other | 22 | 13% |
Unknown | 38 | 22% |