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Natural Language Processing NLP

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. [Pg.28]

Pathway analysis of gene expression data need not be restricted to only canonical pathways. Generally, the interactions described in the literature among gene products, proteins, and small molecules can be extracted from the literature and visualized as networks. Natural language processing (NLP)... [Pg.738]

Practical natural language processing (NLP) tools are now available. [Pg.155]

Natural language processing (NLP) of botanical texts is a complex (and possibly intractable) problem. The two multi-Flora projects have been extremely useful in... [Pg.47]

MUSE = multi-use system for editorial NLP = natural language processing OLP = Online Literature Preparation OSI online structure input RN = Registry Number SDF = standard distribution format. [Pg.278]

See other pages where Natural Language Processing NLP is mentioned: [Pg.155]    [Pg.113]    [Pg.14]    [Pg.17]    [Pg.123]    [Pg.130]    [Pg.109]    [Pg.415]    [Pg.313]    [Pg.155]    [Pg.113]    [Pg.14]    [Pg.17]    [Pg.123]    [Pg.130]    [Pg.109]    [Pg.415]    [Pg.313]   
See also in sourсe #XX -- [ Pg.155 , Pg.156 , Pg.733 ]



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