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System and method for generating improved search queries from natural language questions

  • US 10,275,514 B2
  • Filed: 11/22/2016
  • Issued: 04/30/2019
  • Est. Priority Date: 11/22/2016
  • Status: Active Grant
First Claim
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1. A computer implemented method, in a data processing system comprising a processor and a memory comprising instructions which are executed by the processor to cause the processor to implement an improved search query generation system implemented on a cognitive system, the method comprising:

  • inputting a natural language question, wherein the natural language question is a search engine query;

    parsing the natural language question into a parse tree;

    identifying argument positions comprising one or more argument position terms using the parse tree;

    for each argument position term;

    comparing a head term'"'"'s discriminator score against a threshold discriminator score; and

    if the head term surpasses the threshold discriminator score, adding the head term as a required term to an improved search query;

    if the head term does not surpass the threshold discriminator score, considering one or more modifiers within the argument position;

    for each modifier;

    if the modifier'"'"'s discriminator score surpasses a modifier threshold discriminator score, adding the modifier as the required term to the improved search query;

    outputting the improved search query to the cognitive system; and

    training the cognitive system with the improved search query.

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