Parsing plans situation-dependently in dialogues

Authors:
Kiyoshi Kogure;Akira Shimazu;Mikio Nakano
Affiliations:
NTT Basic Research Laboratories, Kanagawa, Japan;NTT Basic Research Laboratories, Kanagawa, Japan;NTT Basic Research Laboratories, Kanagawa, Japan
Venue:
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Year:
1996

Citing 2
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Temporal data base management

Artificial Intelligence
Artificial intelligence techniques in Prolog

Artificial intelligence techniques in Prolog

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Abstract

This paper describes a plan parsing method that can handle the effects and preconditions of actions and that parses plans in a manner dependent on dialogue state changes, especially on the mental state changes of dialogue participants caused by utterances. This method is based on active chart parsing and uses augmented edge structures to keep state information locally and time map management to deal with state changes. It has been implemented in Prolog and is used for plan recognition in dialogues.