Attention, intentions, and the structure of discourse
Computational Linguistics
Linguistic and pragmatic constraints on utterance interpretation
Linguistic and pragmatic constraints on utterance interpretation
Recognizing complex discourse acts: a tripartite plan-based model of dialogue
Recognizing complex discourse acts: a tripartite plan-based model of dialogue
ISSD-93 Selected papers presented at the international symposium on Spoken dialogue
Limited attention and discourse structure
Computational Linguistics
A maximum entropy approach to natural language processing
Computational Linguistics
Statistical Language Learning
A maximum entropy approach to identifying sentence boundaries
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
A pragmatics-based approach to ellipsis resolution
Computational Linguistics
A tripartite plan-based model of dialogue
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Two constraints on speech act ambiguity
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Natural Language Engineering
A reliable multidomain model for speech act classification
Pattern Recognition Letters
Speech acts tagging system for korean using support vector machines
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Improving Korean speech acts analysis by using shrinkage and discourse stack
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Hierarchical speech-act classification for discourse analysis
Pattern Recognition Letters
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We propose a statistical dialogue analysis model to determine discourse structures as well as speech acts using maximum entropy model. The model can automatically acquire probabilistic discourse knowledge from a discourse tagged corpus to resolve ambiguities. We propose the idea of tagging discourse segment boundaries to represent the structural information of discourse. Using this representation we can effectively combine speech act analysis and discourse structure analysis in one framework.