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Method for building a natural language understanding model for a spoken dialog system

  • US 7,933,766 B2
  • Filed: 10/20/2009
  • Issued: 04/26/2011
  • Est. Priority Date: 01/09/2004
  • Status: Expired due to Fees
First Claim
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1. A computing device for generating a natural language understanding (NLU) model for use in a spoken dialog service, the computing device comprising a processor and further comprising:

  • (a) a module that controls the processor to generate and test a first NLU model using a hand crafted rule and sample utterances;

    (b) a module that controls the processor to build a second NLU model based on the sample utterances as new training data and based on the hand crafted rule;

    (c) a module that controls the processor to (1) build a series of NLU models by adding a previous batch of labeled data to training data and (2) use a new batch of labeling data as test data to generate the series of NLU models with dynamically increasing training data; and

    (d) a module that controls the processor, after all the training data is received, at least once, to build a third NLU model based on all the labeling data, wherein the third NLU model is used in a spoken dialog service.

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