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
- 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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2008/pdf/136_paper.pdf