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Mixing knowledge sources with auto learning for improved entity extraction

  • US 8,499,008 B2
  • Filed: 07/24/2009
  • Issued: 07/30/2013
  • Est. Priority Date: 07/24/2009
  • Status: Active Grant
First Claim
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1. A computer-implemented method, comprising:

  • extracting by a processor instances from a plurality of sources using a plurality of knowledge extractors;

    aggregating the instances from the plurality of sources;

    extracting a plurality of feature vectors for a plurality of instances using a plurality of feature generators, each feature vector extracted by a plurality of feature generators; and

    building a model by using a modeler based, at least in part, upon the feature vectors extracted by the plurality of feature generators and extracted instances,wherein building the model comprises automatically generating training sets of instances.

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