Artificial Intelligence - Special volume on natural language processing
mCP nets: representing and reasoning with preferences of multiple agents
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Agreement and disputes in dialogue
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Journal of Artificial Intelligence Research
Probabilistic head-driven parsing for discourse structure
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
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Dialogue moves influence and are influenced by the agents' preferences. We propose a method for modelling this interaction. We motivate and describe a recursive method for calculating the preferences that are expressed, sometimes indirectly, through the speech acts performed. These yield partial CP-nets, which provide a compact and efficient method for computing how preferences influence each other. Our study of 100 dialogues in the Verbmobil corpus can be seen as a partial vindication of using CP-nets to represent preferences.