- Reciprocal Learning via Dialogue Interaction: Challenges and Prospects
- IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT)
- Book/source title
- IJCAI 2011 Workshop on Agents Learning Interactively from Human Teachers (ALIHT): July 16-17, 2011, Barcelona, Spain: accepted papers
- Austin, TX: University of Texas at Austin
- Document type
- Conference contribution
- Interfacultary Research Institutes
- Institute for Logic, Language and Computation (ILLC)
- 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.
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