CheNER: chemical named entity recognizer

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CheNER: chemical named entity recognizer

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 International Union of Pure and Applied Chemistry (IUPAC) chemica...

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NEROC: Named Entity Recognizer of Chemicals

We describe a pipeline system, Named Entity Recognizer of Chemicals (NEROC), that aims to identify chemical entities mentioned in free texts. The system is based on a machine learning approach, a Conditional Random Field (CRF), and a selection of feature sets that are used to capture specific characteristics of chemical named entities. In this paper, we report results that produced by CRF model...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2013

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btt639