Our Article regarding “Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining” was published in Journal of Cheminformatics as an Open Access article a few weeks ago. The link is: http://www.jcheminf.com/content/2/1/3

Background: Previously, we developed a combined dictionary dubbed Chemlist for the identification of small molecules and drugs in text based on a number of publicly available databases and tested it on an annotated corpus. To achieve an acceptable recall and precision we used a number of automatic and semi-automatic processing steps together with disambiguation rules. However, it remained to be investigated which impact an extensive manual curation of a multi-source chemical dictionary would have on chemical term identification in text. ChemSpider is a chemical database that has undergone extensive manual curation aimed at establishing valid chemical name-to-structure relationships.

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