A comprehension model for human dialogue

Authors:
William C. Mann;James A. Moore;James A. Levin
Affiliations:
Information Sciences Institute, USC, Marina Del Rey, California;Information Sciences Institute, USC, Marina Del Rey, California;Information Sciences Institute, USC, Marina Del Rey, California
Venue:
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 1
Year:
1977

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Abstract

The comprehension of dialogue is an important concern for those interested in natural language processing for several reasons: dialogue gives particularly good access to human communication phenomena, it is less contrived than authored text, and human dialogue provides useful analogies for improving man-machine communication. In naturally occurring dialogues, the goals of the participants play a key role in structuring their language interactions. People know how dialogue is used to achieve goals, and they use this knowledge to comprehend what they hear.