Methods, systems, and storage media for automatically identifying relevant chemical compounds in patent documents
A technology for patent documents and identification systems, used in document management systems, patent retrieval, word processing, etc.
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[0023] The present disclosure generally relates to a system that automatically extracts compounds from patent documents and determines the relevance of the compounds to the patent documents. The method described herein involves a training device, in particular, configured to extract patent documents from a database, normalize the patent documents and feed the patent documents to a machine learning system (referred to in the text as a chemical entity recognition system) , allowing machine learning systems to be trained to automatically identify compounds in normalized patent documents and determine whether those compounds are related to related patent documents.
[0024] Patent data contained in patent documents can be obtained from various patent databases, including but not limited to those provided by various patent offices such as the European Patent Office (EPO), the United States Patent and Trademark Office (USPTO), the World Intellectual Property Organization (WIPO), the ...
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