Method of improving NLP processing of real-world forms via element-level template correlation
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United States of America Patent
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Sep 4, 2018
Grant Date -
Jun 16, 2016
app pub date -
Feb 23, 2016
filing date -
Dec 2, 2014
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Abstract
A method, system and computer-usable medium are disclosed for identifying unchecked criteria within a form. Natural Language Processing (NLP) is applied to unstructured data within a target form to identify elements of a form structure. Analytic analysis is then applied to the resulting form structure elements to identify a hierarchical structure and associated element placement. Implicit selections within the form are then identified by applying rules based upon other selections and their orientation to anchor terms to determine the completeness of the form, based upon aggregation of form elements. The form structure elements and the hierarchy metadata are then processed logically reassemble the form's hierarchy in flattened forms for multi-layer, sub-element anaphora resolution.
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