ETMTNLP '02 Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics - Volume 1
Politeness and alignment in dialogues with a virtual guide
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
GNetIc --- Using Bayesian Decision Networks for Iconic Gesture Generation
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Individuality and alignment in generated dialogues
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Learning adaptive referring expression generation policies for spoken dialogue systems
Empirical methods in natural language generation
Attribute-centric referring expression generation
Empirical methods in natural language generation
Learning adaptive referring expression generation policies for spoken dialogue systems
Empirical methods in natural language generation
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Alignment of interlocutors is a well known psycholinguistic phenomenon of great relevance for dialogue systems in general and natural language generation in particular. In this chapter, we present the alignment-capable microplanner SPUDprime. Using a priming-based model of interactive alignment, it is flexible enough to model the alignment behaviour of human speakers to a high degree. We demonstrate that SPUDprime can account for lexical as well as syntactic alignment and present an evaluation on corpora of task-oriented dialogue that were collected in two experiments designed to investigate the alignment behaviour of humans in a controlled fashion. This will allow for further investigation of which parameters are important to model alignment and how the human-computer interaction changes when the computer aligns to its users.