A Simple Connectionist Approach to Language Understanding in a Dialogue System

  • Authors:
  • María José Castro;Emilio Sanchis

  • Affiliations:
  • -;-

  • Venue:
  • IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
  • Year:
  • 2002

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Abstract

A contribution to the understanding module of a domain-specific dialogue system is presented in this work. The task consists of answering telephone queries about train timetables, prices and services for long distance trains in Spanish. In this system, the representation of the meaning of the user utterances is made by means of frames, which determine the type of communication of the user turn, and by their associated cases, which supply the data of the utterance.We focus on the classification of a user turn given in natural language in a specific class of frame. We used multilayer perceptrons to classify a user turn as belonging to a frame class. This classification can help in the posterior processes of understanding and dialogue management.