CheNER: chemical named entity recognizer.
BACKGROUND
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 International Union of Pure and Applied Chemistry (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.


METHODS
http://metres.udl.cat/index.php/9-download/4-chener, http://chener.bioinfo.cnio.es/
Department of Basic Medical Science (CMB), University of Lleida & IRBLleida, Department of Computers an Industrial Engineering (DIEI), University of Lleida, Lleida and Structural Biology and Biocomputing Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain.
Anabel
A
Usié
Rui
R
Alves
Francesc
F
Solsona
Miguel
M
Vázquez
Alfonso
A
Valencia
D062126:Databases, Chemical; D016247:Information Storage and Retrieval; D012984:Software