Response generator for mimicking human-computer natural language conversation

  • US 7,783,486 B2
  • Filed: 11/24/2003
  • Issued: 08/24/2010
  • Est. Priority Date: 11/22/2002
  • Status: Expired due to Fees
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First Claim
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1. An autonomous response method, comprising:

  • automatically updating a context database, said context database containing one or more context elements selected from the group consisting of a score in a sporting contest, a value of a market index, a value of a commodity, a result of a poll and a result of a survey, or some combination thereof;

    using one or more of said context elements to generate a learned mood number (Ml);

    automatically updating a statement-response database, said updating including associating and storing said learned mood number with said response;

    receiving a natural language query;

    automatically generating at least two possible responses to said natural language query;

    automatically obtaining current values of said context elements corresponding to those used in generating said learned mood number;

    using said current values of said context elements to generate a current mood number (Mc);

    automatically weighting said possible responses using said learned mood value stored with said response and said current mood value using the formula;

    weight=1/(1+C|(Mc)−

    (Ml)|), where C is a constant related to a suitability of said possible response and | | indicates the absolute difference between the current and learned mood values; and

    ,automatically using a processor selecting said lowest weighted response to generate a natural language response to said natural language query.

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