Extended person-machine interface
Artificial Intelligence
Plan recognition and discourse analysis: an integrated approach for understanding dialogues
Plan recognition and discourse analysis: an integrated approach for understanding dialogues
Generating natural language text in response to questions about database structure
Generating natural language text in response to questions about database structure
A computational model for the analysis of arguments
A computational model for the analysis of arguments
A plan recognition model for clarification subdialogues
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Discourse structures for text generation
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Providing a unified account of definite noun phrases in discourse
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Modeling the user's plans and goals
Computational Linguistics - Special issue on user modeling
The repair of speech act misunderstandings by abductive inference
Computational Linguistics
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
An environment for acquiring semantic information
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Feedback as a coindexing mechanism in connectionist architectures
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Getting serious about parsing plans: a grammatical analysis of plan recognition
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
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To fully understand a sequence of utterances, one must be able to infer implicit relationships between the utterances. Although the identification of sets of utterance relationships forms the basis for many theories of discourse, the formalization and recognition of such relationships has proven to be an extremely difficult computational task.This paper presents a plan-based approach to the representation and recognition of implicit relationships between utterances. Relationships are formulated as discourse plans, which allows their representation in terms of planning operators and their computation via a plan recognition process. By incorporating complex inferential processes relating utterances into a plan-based framework, a formalization and computability not available in the earlier works is provided.