Is natural language querying practical?

  • Authors:
  • Sasa M. Dekleva

  • Affiliations:
  • -

  • Venue:
  • ACM SIGMIS Database
  • Year:
  • 1994

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Abstract

The study reported here involved the use of the natural language query system INTELLECT. It evaluated the level of correct interpretation to investigate whether the use of such a system is practical. Two sets of queries generated by two groups of senior-level business students were used. Questions from the first set were generated by "naïve" students who were untrained, and not aware that they were providing queries which were to be executed by a computer. Students from the second group attended a short lecture and understood that they were to generate natural language queries to be executed by a computer. INTELLECT's lexicon was augmented in stages. The level of correct interpretation achieved in this study is far above any previously reported and suggests that existing natural language query systems may be practical. key features in the accuracy of interpretation were user training and iterative lexicon enhancement.