Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
A computational theory of grounding in natural language conversation
A computational theory of grounding in natural language conversation
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
The reliability of a dialogue structure coding scheme
Computational Linguistics
Discourse segmentation by human and automated means
Computational Linguistics
Never look back: an alternative to centering
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A preliminary model of centering in dialog
ACL '98 Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2
The representation of multimodal user interface dialogues using discourse pegs
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Semi-automatic Identification of Danish Discourse Deictics
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Centering-Based Anaphora Resolution in Danish Dialogues
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
PHORA: A NLP System for Spanish
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Functional centering: grounding referential coherence in information structure
Computational Linguistics
Prosody and the resolution of pronominal anaphora
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Abstract anaphora resolution in Danish
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
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Most existing anaphora resolution algorithms are designed to account only for anaphors with NP-antecedents. This paper describes an algorithm for the resolution of discourse deictic anaphors, which constitute a large percentage of anaphors in spoken dialogues. The success of the resolution is dependent on the classification of all pronouns and demonstratives into individual, discourse deictic and vague anaphora. Finally, the empirical results of the application of the algorithm to a corpus of spoken dialogues are presented.