Exploration of Human Repair Initiation in Task-oriented Dialogue: A Linguistic Feature-based Approach

Anh Ngo, Dirk Heylen, Nicolas Rollet, Catherine Pelachaud, Chloé Clavel


Abstract
In daily conversations, people often encounter problems prompting conversational repair to enhance mutual understanding. By employing an automatic coreference solver, alongside examining repetition, we identify various linguistic features that distinguish turns when the addressee initiates repair from those when they do not. Our findings reveal distinct patterns that characterize the repair sequence and each type of repair initiation.
Anthology ID:
2024.sigdial-1.51
Volume:
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
September
Year:
2024
Address:
Kyoto, Japan
Editors:
Tatsuya Kawahara, Vera Demberg, Stefan Ultes, Koji Inoue, Shikib Mehri, David Howcroft, Kazunori Komatani
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
603–609
Language:
URL:
https://aclanthology.org/2024.sigdial-1.51
DOI:
10.18653/v1/2024.sigdial-1.51
Bibkey:
Cite (ACL):
Anh Ngo, Dirk Heylen, Nicolas Rollet, Catherine Pelachaud, and Chloé Clavel. 2024. Exploration of Human Repair Initiation in Task-oriented Dialogue: A Linguistic Feature-based Approach. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 603–609, Kyoto, Japan. Association for Computational Linguistics.
Cite (Informal):
Exploration of Human Repair Initiation in Task-oriented Dialogue: A Linguistic Feature-based Approach (Ngo et al., SIGDIAL 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.sigdial-1.51.pdf