Abstract
Many interesting phenomena in conversations require interpretative judgements by the annotators. This
leads to data which is annotated with lower levels of agreement due to the differences in how annotators
interpret conversations. Instead of throwing away this data we show how and when we can exploit it. We
analyse the (dis)agreements between annotators for two different cases in a multimodal annotated corpus
and explicitly relate the results to the way machine-learning algorithms perform on the annotated data.
Original language | English |
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Title of host publication | BNAIC 2008 |
Subtitle of host publication | Proceedings of BNAIC 2008, the twentieth Belgian-Dutch Artificial Intelligence Conference, Enschede/Bad Boekelo, October 30-31, 2008 |
Editors | Anton Nijholt, Maja Pantic, Mannes Poel, Hendri Hondorp |
Place of Publication | Enschede, the Netherlands |
Publisher | University of Twente |
Pages | 359-360 |
Number of pages | 2 |
Publication status | Published - Oct 2008 |
Event | 20th Benelux Conference on Artificial Intelligence, BNAIC 2008 - Boekelo, Netherlands Duration: 30 Oct 2008 → 31 Oct 2008 Conference number: 20 |
Publication series
Name | BNAIC: proceedings of the ... Belgium/Netherlands Artificial Intelligence Conference |
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Publisher | University of Twente |
Number | 20 |
ISSN (Print) | 1568-7805 |
Conference
Conference | 20th Benelux Conference on Artificial Intelligence, BNAIC 2008 |
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Abbreviated title | BNAIC |
Country/Territory | Netherlands |
City | Boekelo |
Period | 30/10/08 → 31/10/08 |
Keywords
- EWI-14666
- HMI-IA: Intelligent Agents
- METIS-255031
- IR-62631
- HMI-MI: MULTIMODAL INTERACTIONS