Abstract
Hedges have an important role in the management of rapport. In peer-tutoring, they are notably used by tutors in dyads experiencing low rapport to tone down the impact of instructions and negative feedback. Pursuing the objective of building a tutoring agent that manages rapport with teenagers in order to improve learning, we used a multimodal peer-tutoring dataset to construct a computational framework for identifying hedges. We compared approaches relying on pre-trained resources with others that integrate insights from the social science literature. Our best performance involved a hybrid approach that outperforms the existing baseline while being easier to interpret. We employ a model explainability tool to explore the features that characterize hedges in peer-tutoring conversations, and we identify some novel features, and the benefits of a such a hybrid model approach.- Anthology ID:
- 2022.acl-long.153
- Volume:
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Smaranda Muresan, Preslav Nakov, Aline Villavicencio
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2160–2174
- Language:
- URL:
- https://aclanthology.org/2022.acl-long.153
- DOI:
- 10.18653/v1/2022.acl-long.153
- Cite (ACL):
- Yann Raphalen, Chloé Clavel, and Justine Cassell. 2022. “You might think about slightly revising the title”: Identifying Hedges in Peer-tutoring Interactions. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2160–2174, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- “You might think about slightly revising the title”: Identifying Hedges in Peer-tutoring Interactions (Raphalen et al., ACL 2022)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2022.acl-long.153.pdf