The Role and the Impact of Preferences on Multiagent Interaction
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Preference Elicitation and Query Learning
The Journal of Machine Learning Research
Mining opinions in comparative sentences
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Journal of Artificial Intelligence Research
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Commitments to preferences in dialogue
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Annotating preferences in chats for strategic games
LAW VI '12 Proceedings of the Sixth Linguistic Annotation Workshop
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Modeling user preferences is crucial in many real-life problems, ranging from individual and collective decision-making to strategic interactions between agents and game theory. Since agents do not come with their preferences transparently given in advance, we have only two means to determine what they are if we wish to exploit them in reasoning: we can infer them from what an agent says or from his nonlinguistic actions. In this paper, we analyze how to infer preferences from dialogue moves in actual conversations that involve bargaining or negotiation. To this end, we propose a new annotation scheme to study how preferences are linguistically expressed in two different corpus genres. This paper describes the annotation methodology and details the inter-annotator agreement study on each corpus genre. Our results show that preferences can be easily annotated by humans.