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An automated and standardized software application, system, and method of extracting relationships, for example bio-entity relationships, in text or literature.
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Summary: The current invention discloses an automated and standardized software application, system, and method of extracting relationships, for example bio-entity relationships, in text or literature. The long-standing need for an improved, automated and more efficient text mining procedure is now met by a new and useful computer-implemented software application. The software is accessible from a non-transitory, computer-readable media and provides instructions for a computer processor to extract textual relationships or semantic information from non-annotated data by natural language processing and graph theoretic algorithm. Advantages: The present invention may address one or more of the problems (high incidence of error and high cost of text mining), and deficiencies (low efficiency and poor organization/standardized format) of the prior art. Applications: Building biomedical databases, search engines, knowledge bases, or any other applications that may use organized relationships of content within literatures.