Summary of the paper
| Title | Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems |
|---|---|
| Authors | Kate Forbes-Riley, Diane Litman, Scott Silliman and 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. |
| Language | Single language |
| Topics | Emotions, Corpus (creation, annotation, etc.), Dialogue & Natural Interactivity |
Full paper |
Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems |
Slides |
Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems |
| Bibtex | @InProceedings{FORBESRILEY08.136, author = {Kate Forbes-Riley, Diane Litman, Scott Silliman and Amruta Purandare}, title = {Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |