Recognizing Chemical Compounds and Drugs: a Rule-Based Approach Using Semantic Information
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چکیده
This paper presents a system for recognizing chemical compounds and drug names. It is a rule-based system that utilizes semantic information from the ChEBI ontology and the MeSH Metathesaurus. It also integrates the MetaMap tool, the ANNIE PoS tagger, and pharmacological databases such as DrugBank. We used this system for the CHEMDNER task 2013, and an outcome of this work is the development of non existing resources for recognizing chemical entities (e.g. gazetteers and a list of biochemical affixes), which are available for the research community.
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تاریخ انتشار 2013