Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Verbmobil - Translation of Face-To-Face Dialogs
Grundlagen und Anwendungen der Künstlichen Intelligenz, 17. Fachtagung für Künstliche Intelligenz, Humboldt-Universität zu
An architecture for a generic dialogue shell
Natural Language Engineering
HLT '91 Proceedings of the workshop on Speech and Natural Language
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Balancing transactions in practical dialogues
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Predicting dialogue acts from prosodic information
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
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This paper presents empirical results of an analysis on the role of prosody in the recognition of dialogue acts and utterance mood in a practical dialogue corpus in Mexican Spanish. The work is configured as a series of machine-learning experimental conditions in which models are created by using intonational and other data as predictors and dialogue act tagging data as targets. We show that utterance mood can be predicted from intonational information, and that this mood information can then be used to recognize the dialogue act.