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.
Original language | English |
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Title of host publication | Proceedings of DiaHolmia 2009 |
Subtitle of host publication | 13th Workshop on the Semantics and Pragmatics of Dialogue |
Editors | Jens Edlund, Joakim Gustafson, Anna Hjalmarsson, Gabriel Skantze |
Place of Publication | Stockholm |
Publisher | KTH Royal Institute of Technology |
Pages | 99-106 |
Number of pages | 8 |
Publication status | Published - 24 Jun 2009 |
Event | 13th Workshop on the Semantics and Pragmatics of Dialogue, SemDial 2009: DiaHolmia - Sockholm, Sweden Duration: 24 Jun 2009 → 26 Jun 2009 Conference number: 13 |
Workshop
Workshop | 13th Workshop on the Semantics and Pragmatics of Dialogue, SemDial 2009 |
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Abbreviated title | SemDial |
Country/Territory | Sweden |
City | Sockholm |
Period | 24/06/09 → 26/06/09 |
Keywords
- METIS-275560
- Machine classification
- IR-75327
- EWI-17164
- EC Grant Agreement nr.: FP6/0033812
- HMI-MI: MULTIMODAL INTERACTIONS
- multimodal recognition machine classification
- Multimodal recognition