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Abductive Reasoning for Continual Dialogue Understanding

  • Miroslav Janíček
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7415)

Abstract

In this paper we present a continual context-sensitive abductive framework for understanding situated spoken natural dialogue. The framework builds up and refines a set of partial defeasible explanations of the spoken input, trying to infer the speaker’s intention. These partial explanations are conditioned on the eventual verification of the knowledge gaps they contain. This verification is done by executing test actions, thereby going beyond the initial context. The approach is illustrated by an example set in the context of human-robot interaction.

Keywords

Intention recognition natural language understanding abduction context-sensitivity 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Miroslav Janíček
    • 1
  1. 1.German Research Center for Artificial Intelligence (DFKI)SaarbrückenGermany

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