Extended person-machine interface
Artificial Intelligence
Plan Recognition in Natural Language Dialogue
Plan Recognition in Natural Language Dialogue
A plan-based approach to speech act recognition
A plan-based approach to speech act recognition
A plan-based analysis of indirect speech acts
Computational Linguistics
Exploiting conversational implicature for generating concise explanations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A tripartite plan-based model of dialogue
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Discourse relations and defeasible knowledge
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Planning text for advisory dialogues
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
The computational complexity of avoiding conversational implicatures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Planning coherent multisentential text
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Interpreting communicative acts and building a conversation model
Natural Language Engineering
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A hybrid reasoning model for indirect answers
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Not a simple yes or no: uncertainty in indirect answers
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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In this paper we present algorithms for the interpretation and generation of a kind of particularized conversational implicature occurring in certain indirect replies. Our algorithms make use of discourse expectations, discourse plans, and discourse relations. The algorithms calculate implicatures of discourse units of one or more sentences. Our approach has several advantages. First, by taking discourse relations into account, it can capture a variety of implicatures not handled before. Second, by treating implicatures of discourse units which may consist of more than one sentence, it avoids the limitations of a sentence-at-a-time approach. Third, by making use of properties of discourse which have been used in models of other discourse phenomena, our approach can be integrated with those models. Also, our model permits the same information to be used both in interpretation and generation.