Automatic identification of relevant chemical compounds from patents.

ABSTRACT: In commercial research and development projects, public disclosure of new chemical compounds often takes place in patents. Only a small proportion of these compounds are published in journals, usually a few years after the patent. Patent authorities make available the patents but do not provide systematic continuous chemical annotations. Content databases such as Elsevier's Reaxys provide such services mostly based on manual excerptions, which are time-consuming and costly. Automatic text-mining approaches help overcome some of the limitations of the manual process. Different text-mining approaches exist to extract chemical entities from patents. The majority of them have been developed using sub-sections of patent documents and focus on mentions of compounds. Less attention has been given

SUBMITTER: Akhondi SA 

PROVIDER: S-EPMC6351730 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature