Name selection and extraction

The first publications in this area were from the 1980s and 1990s.41 42 This area of research now uses the general principles of natural language processing (NLP) and, specifically, named entity extraction (NER) enhanced with specific developments for chemical and biochemical name recognition.43 44 Chapter 7 of this book is devoted to NLP and NER approaches applied to the extraction of chemical information, and we will not discuss these approaches in more detail here. 

The specific problems and potential solutions associated with chemical name recognition have been reviewed in a recent work describing the OSCAR3 software.32 The general approach is the recognition of chemistry-related terms whereby chemical names are identified by the appropriate algorithms. Chemical name identification uses several steps and procedures that may include  

Following the chemical name recognition process, annotated documents are created with specific tags to provide a reference to the part of the document where the specific chemical is mentioned. The extracted chemical names are then provided as inputs to the N2S algorithms and form the basis of the next section of this work. 

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