Proceedings,

Language Technology for Processing Chemistry Publications

, , , , and .
(2005)

Abstract

Extraction of chemical information embedded in primary publications is essential for the development of eScience. We describe text mining tools and procedures which can identify, understand and extract such information on a high-throughput basis.

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