Artificial Believers: The Ascription of Belief
Artificial Believers: The Ascription of Belief
Planning English Sentences
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
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MUC6 '95 Proceedings of the 6th conference on Message understanding
Routing email automatically by purpose not topic
Natural Language Engineering
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User Modeling and User-Adapted Interaction
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Proceedings of the international workshop on Workshop on multimedia information retrieval
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Multimedia Tools and Applications
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The two principal areas of natural language processing research in pragmantics are belief modelling and speech act processing. Belief modelling is the development of techniques to represent the mental attitudes of a dialogue participant. The latter approach, speech act processing, based on speech act theory, involves viewing dialogue in planning terms. Utterances in a dialogue are modelled as steps in a plan where understanding an utterance involves deriving the complete plan a speaker is attempting to achieve. However, previous speech act based approaches have been limited by a reliance upon relatively simplistic belief modelling techniques and their relationship to planning and plan recognition. In particular, such techniques assume precomputed nested belief structures. In this paper, we will present an approach to speech act processing based on novel belief modelling techniques where nested beliefs are propagated on demand.