Chemical named entities recognition: a review on approaches and applications.

ABSTRACT: The rapid increase in the flow rate of published digital information in all disciplines has resulted in a pressing need for techniques that can simplify the use of this information. The chemistry literature is very rich with information about chemical entities. Extracting molecules and their related properties and activities from the scientific literature to "text mine" these extracted data and determine contextual relationships helps research scientists, particularly those in drug development. One of the most important challenges in chemical text mining is the recognition of chemical entities mentioned in the texts. In this review, the authors briefly introduce the fundamental concepts of chemical literature mining, the textual contents of chemical documents, and the methods of naming che

SUBMITTER: Eltyeb S 

PROVIDER: S-EPMC4022577 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature