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Discrepancy Curator for Documents in a Corpus of a Cognitive Computing System

  • US 20170199882A1
  • Filed: 01/12/2016
  • Published: 07/13/2017
  • Est. Priority Date: 01/12/2016
  • Status: Active Grant
First Claim
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1. A method for a user to curate a corpus of a cognitive computing system comprising the steps of:

  • producing by a computing system a parse tree illustration of one or more discrepancies and corresponding assigned confidence factors detected between at least a portion of a first document and a second or more documents in the corpus, wherein the portion and the second or more documents comprise natural language unstructured data;

    reporting on a user interface device to a user the parse tree illustration;

    responsive to receipt by a computing system of a user selection of an illustrated discrepancy in the parse tree, displaying by a computing system on a user interface device to a user a drill-down dialog which shows at least a text string for the portion of the first document and at least one conflicting text string from the second or more documents, and which provides at least one user-selectable administrative action option for handling the detected discrepancy; and

    responsive to receipt by a computing system of a user selection of at least one of the administrative action options, performing by the computing system the administrative action, thereby handling the detected discrepancy.

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