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Overview of BioCreative II gene mention recognition.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Smith, Larry 
Tanabe, Lorraine K 
Ando, Rie Johnson nee 
Kuo, Cheng-Ju 
Chung, I-Fang 

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.

Description

Keywords

Computational Biology, Congresses as Topic, Genes, Societies, Scientific

Journal Title

Genome Biol

Conference Name

Journal ISSN

1474-760X
1474-760X

Volume Title

9 Suppl 2

Publisher

Springer Science and Business Media LLC