CheNER: Chemical Named Entity Recognizer

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Issue date
2013Suggested citation
Usié Chimenos, Anabel;
Alves, Rui;
Solsona Tehàs, Francesc;
Vázquez, Miguel;
Valéncia, Alfonso;
.
(2013)
.
CheNER: Chemical Named Entity Recognizer.
Bioinformatics Advance Access, 2013, vol. 30, núm. 7, p. 1039-1040.
https://doi.org/10.1093/bioinformatics/btt639.
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Show full item recordAbstract
Motivation: Chemical named entity recognition is used to automatically
identify mentions to chemical compounds in text, and is the
basis for more elaborate information extraction. However, only a
small number of applications are freely available to identify such
mentions. Particularly challenging and useful is the identification of
IUPAC chemical compounds, which due to the complex morphology
of IUPAC names requires more advanced techniques than that of
brand names.
Results: We present CheNER, a tool for automated identification of
systematic IUPAC chemical mentions. We evaluated different systems
using an established literature corpus to show that CheNER
has a superior performance in identifying IUPAC names specifically,
and that it makes better use of computational resources.
Availability: http://metres.udl.cat/index.php/9-download/4-chener,
http://ubio.bioinfo.cnio.es/biotools/CheNER/
Supplementary information: Both web sites above include the
user manual for the software. Supplementary materials accompany
this publication.
Is part of
Bioinformatics Advance Access, 2013, vol. 30, núm. 7, p. 1039-1040European research projects
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