Overview of BioCreative II gene mention recognition.

Thumbnail
View / Open Files
Authors
Smith, Larry
Tanabe, Lorraine K
Ando, Rie Johnson nee
Kuo, Cheng-Ju
Chung, I-Fang
Hsu, Chun-Nan
Lin, Yu-Shi
Publication Date
2008
Journal Title
Genome Biol
ISSN
1474-760X
Publisher
Springer Science and Business Media LLC
Volume
9 Suppl 2
Pages
S2
Language
eng
Type
Article
This Version
VoR
Physical Medium
Print-Electronic
Metadata
Show full item record
Citation
Smith, L., Tanabe, L. K., Ando, R. J. n., Kuo, C., Chung, I., Hsu, C., Lin, Y., et al. (2008). Overview of BioCreative II gene mention recognition.. Genome Biol, 9 Suppl 2 S2. https://doi.org/10.1186/gb-2008-9-s2-s2
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.
Keywords
Computational Biology, Genes, Societies, Scientific, Congresses as Topic
Identifiers
External DOI: https://doi.org/10.1186/gb-2008-9-s2-s2
This record's URL: https://www.repository.cam.ac.uk/handle/1810/286410
Rights
Attribution 4.0 International
Licence URL: https://creativecommons.org/licenses/by/4.0/
Statistics



Total file downloads (since January 2020). For more information on metrics see the IRUS guide.

Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International