Importance

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Abstract

A method for enabling machine learning from unstructured documents is described. The method comprises analyzing at an electronic device, one or more structured databases, thereby providing a mapping between a plurality of referenced character strings and a corresponding plurality of type labels; providing, at the electronic device, a first unstructured document comprising a plurality of unstructured character strings; analyzing the first unstructured document to identify a first character string of the plurality of unstructured character strings which is associated with a first referenced character string of the plurality of referenced character strings; associating, within the first unstructured document, a first type label which is mapped to the first referenced character string to the first character string; and determining a training set for machine learning from the first unstructured document comprising the association to the first type label.

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First Claim