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Intelligent Web-Based Natural Language Dialogue Planning for Web Information Filtering

  • Hugo Hromic
  • John Atkinson
Part of the Studies in Computational Intelligence book series (SCI, volume 431)

Abstract

This work proposes a stochastic web-based natural language dialogue planner for an intelligent web filtering model, which allows users to filter search results obtained by a traditional search engine and assists them to find what they really are looking for. Experiments with web users and different interaction settings show the promise of the approach to web-based adaptive planning.

Keywords

Automatic Speech Recognition Training Corpus Dialogue System Search Agent Dialogue Session 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.DERINational University of IrelandGalwayIreland
  2. 2.Department of Computer SciencesUniversidad de ConcepcionConcepcionChile

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