@inproceedings{frommer-etal-2012-towards,
title = "Towards Emotion and Affect Detection in the Multimodal {LAST} {MINUTE} Corpus",
author = {Frommer, J{\"o}rg and
Michaelis, Bernd and
R{\"o}sner, Dietmar and
Wendemuth, Andreas and
Friesen, Rafael and
Haase, Matthias and
Kunze, Manuela and
Andrich, Rico and
Lange, Julia and
Panning, Axel and
Siegert, Ingo},
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/782_Paper.pdf",
pages = "3064--3069",
abstract = {The LAST MINUTE corpus comprises multimodal recordings (e.g. video, audio, transcripts) from WOZ interactions in a mundane planning task (R{\"o}sner et al., 2011). It is one of the largest corpora with naturalistic data currently available. In this paper we report about first results from attempts to automatically and manually analyze the different modes with respect to emotions and affects exhibited by the subjects. We describe and discuss difficulties encountered due to the strong contrast between the naturalistic recordings and traditional databases with acted emotions.},
}
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<abstract>The LAST MINUTE corpus comprises multimodal recordings (e.g. video, audio, transcripts) from WOZ interactions in a mundane planning task (Rösner et al., 2011). It is one of the largest corpora with naturalistic data currently available. In this paper we report about first results from attempts to automatically and manually analyze the different modes with respect to emotions and affects exhibited by the subjects. We describe and discuss difficulties encountered due to the strong contrast between the naturalistic recordings and traditional databases with acted emotions.</abstract>
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%0 Conference Proceedings
%T Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus
%A Frommer, Jörg
%A Michaelis, Bernd
%A Rösner, Dietmar
%A Wendemuth, Andreas
%A Friesen, Rafael
%A Haase, Matthias
%A Kunze, Manuela
%A Andrich, Rico
%A Lange, Julia
%A Panning, Axel
%A Siegert, Ingo
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 may
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F frommer-etal-2012-towards
%X The LAST MINUTE corpus comprises multimodal recordings (e.g. video, audio, transcripts) from WOZ interactions in a mundane planning task (Rösner et al., 2011). It is one of the largest corpora with naturalistic data currently available. In this paper we report about first results from attempts to automatically and manually analyze the different modes with respect to emotions and affects exhibited by the subjects. We describe and discuss difficulties encountered due to the strong contrast between the naturalistic recordings and traditional databases with acted emotions.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/782_Paper.pdf
%P 3064-3069
Markdown (Informal)
[Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus](http://www.lrec-conf.org/proceedings/lrec2012/pdf/782_Paper.pdf) (Frommer et al., LREC 2012)
ACL
- Jörg Frommer, Bernd Michaelis, Dietmar Rösner, Andreas Wendemuth, Rafael Friesen, Matthias Haase, Manuela Kunze, Rico Andrich, Julia Lange, Axel Panning, and Ingo Siegert. 2012. Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3064–3069, Istanbul, Turkey. European Language Resources Association (ELRA).