Back to Search Start Over

Chemical documents: machine understanding and automated information extraction.

Authors :
Townsend JA
Adams SE
Waudby CA
de Souza VK
Goodman JM
Murray-Rust P
Source :
Organic & biomolecular chemistry [Org Biomol Chem] 2004 Nov 21; Vol. 2 (22), pp. 3294-300. Date of Electronic Publication: 2004 Oct 20.
Publication Year :
2004

Abstract

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.

Details

Language :
English
ISSN :
1477-0520
Volume :
2
Issue :
22
Database :
MEDLINE
Journal :
Organic & biomolecular chemistry
Publication Type :
Academic Journal
Accession number :
15534707
Full Text :
https://doi.org/10.1039/b411033a