Chemical documents: machine understanding and automated information extraction.
Automatically extracting chemical information from documents is a challenging task, but an essential one for dealing with the vast quantity of data that is available. The task is least difficult for structured documents, such as chemistry department web pages or the output of computational chemistry programs, but requires increasingly sophisticated approaches for less structured documents, such as chemical papers. The identification of key units of information, such as chemical names, makes the extraction of useful information from unstructured documents possible.
Townsend
Joe A
JA
Unilever Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
Adams
Sam E
SE
Waudby
Christopher A
CA
de Souza
Vanessa K
VK
Goodman
Jonathan M
JM
Murray-Rust
Peter
P
D002621:Chemistry / Q000379:methods*; D001330:Electronic Data Processing / Q000379:methods*; D020407:Internet; D012984:Software; D009626:Terminology as Topic