Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining-Reference-Cited by-同舟云学术

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Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining

Published:2010-03-23 Issue:1 Volume:2 Page:
ISSN:1758-2946
Container-title:Journal of Cheminformatics
language:en
Short-container-title:J Cheminform

Author:

Hettne Kristina M,Williams Antony J,van Mulligen Erik M,Kleinjans Jos,Tkachenko Valery,Kors Jan A

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/1758-2946-2-3.pdf

Reference28 articles.

1. Banville DL: Mining chemical structural information from the drug literature. Drug Discov Today. 2006, 11: 35-42. 10.1016/S1359-6446(05)03682-2.

2. Erhardt RAA, Schneider R, Blaschke C: Status of text-mining techniques applied to biomedical text. Drug Discov Today. 2006, 11: 315-325. 10.1016/j.drudis.2006.02.011.

3. Kemp N, Michael L: Extraction of Information from the Text of Chemical Patents. 1. Identification of Specific Chemical Names. J Chem Inf Comput Sci. 1998, 38: 544-551.

4. Murray-Rust P: Chemistry for everyone. Nature. 2008, 451: 648-651. 10.1038/451648a.

5. Williams AJ: Internet-based tools for communication and collaboration in chemistry. Drug Discov Today. 2008, 13: 502-506. 10.1016/j.drudis.2008.03.015.

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