Abstract
Integrating the existing interruption and turn switch classification methods, we propose a new annotation schema to annotate different types of interruptions through timeliness, switch accomplishment and speech content level. The proposed method is able to distinguish smooth turn exchange, backchannel and interruption (including interruption types) and to annotate dyadic conversation. We annotated the French part of NoXi corpus with the proposed structure and use these annotations to study the probability distribution and duration of each turn switch type.- Anthology ID:
- 2022.lrec-1.245
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 2292–2297
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/2022.lrec-1.245/
- DOI:
- Cite (ACL):
- Liu Yang, Catherine Achard, and Catherine Pelachaud. 2022. Annotating Interruption in Dyadic Human Interaction. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 2292–2297, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Annotating Interruption in Dyadic Human Interaction (Yang et al., LREC 2022)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/2022.lrec-1.245.pdf