A comparison of addressee detection methods for multiparty conversations

Akker op den, Rieks and Traum, David (2009) A comparison of addressee detection methods for multiparty conversations. In: 13th Workshop on the Semantics and Pragmatics of Dialogue, DiaHolmia 2009, 24-26 June 2009, Sockholm, Sweden.

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Abstract:	Several algorithms have recently been proposed for recognizing addressees in a group conversational setting. These algorithms can rely on a variety of factors including previous conversational roles, gaze and type of dialogue act. Both statistical supervised machine learning algorithms as well as rule based methods have been developed. In this paper, we compare several algorithms developed for several different genres of muliparty dialogue, and propose a new synthesis algorithm that matches the performance of machine learning algorithms while maintaning the transparancy of semantically meaningfull rule-based algorithms.
Item Type:	Conference or Workshop Item
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/75327
Conference URL:	http://www.speech.kth.se/diaholmia/
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