Reciprocal Learning via Dialogue Interaction: Challenges and Prospects

Authors
  • D. Schlangen
Publication date 2011
Host editors
  • J. Beal
  • W. Bradley Knox
Book title IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT): July 16-17, 2011, Barcelona, Spain: accepted papers
Event IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT)
Publisher Austin, TX: University of Texas at Austin
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract Humans learn to communicate with each other by engaging in language coordination during dialogue.
In this position paper, we present the main ideas behind the challenge of language coordination
in human-machine interaction. We review relevant empirical evidence and current approaches to
learning conversational agents, and identify some of the problems that must be overcome for realising this challenge.
Document type Conference contribution
Language English
Published at http://www.cs.utexas.edu/~bradknox/IJCAI-ALIHT11-papers/aliht2011_submission_15.pdf
Downloads
Reciprocal_Learning.pdf (Final published version)
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