Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems

Kate Forbes-Riley, Diane Litman, Scott Silliman, Amruta Purandare


Abstract
We present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring system, in which student uncertainty was manually annotated in real-time. We detail the corpus contents, including speech files, transcripts, annotations, and log files, and we discuss possible future uses by the computational linguistics community as a novel resource for studying naturally occurring user affect and adaptation in complex spoken dialogue systems.
Anthology ID:
L08-1080
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/136_paper.pdf
DOI:
Bibkey:
Cite (ACL):
Kate Forbes-Riley, Diane Litman, Scott Silliman, and Amruta Purandare. 2008. Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems (Forbes-Riley et al., LREC 2008)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/136_paper.pdf