SYSTEMS AND METHODS TO DETERMINE AND UTILIZE SEMANTIC RELATEDNESS BETWEEN MULTIPLE NATURAL LANGUAGE SOURCES TO DETERMINE STRENGTHS AND WEAKNESSES

摘要

A microprocessor executable method transforms unstructured natural language texts by way of a preprocessing pipeline into a structured data representation of the entities described in the original text. The structured data representation is conducive to further processing by machine methods. The transformation process is learned by a machine learned model trained to identify relevant text segments and disregard irrelevant text segments The resulting structured data representation is refined to more accurately represent the respective entities.