Abstract
This paper proposes a new weighting method for extending a dyad-level measure of convergence to multi-party dialogues by considering group dynamics instead of simply averaging. Experiments indicate the usefulness of the proposed weighted measure and also show that in general a proper weighting of the dyad-level measures performs better than non-weighted averaging in multiple tasks.- Anthology ID:
- W18-5046
- Volume:
- Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
- Month:
- July
- Year:
- 2018
- Address:
- Melbourne, Australia
- Editors:
- Kazunori Komatani, Diane Litman, Kai Yu, Alex Papangelis, Lawrence Cavedon, Mikio Nakano
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 385–390
- Language:
- URL:
- https://aclanthology.org/W18-5046
- DOI:
- 10.18653/v1/W18-5046
- Cite (ACL):
- Zahra Rahimi and Diane Litman. 2018. Weighting Model Based on Group Dynamics to Measure Convergence in Multi-party Dialogue. In Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, pages 385–390, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- Weighting Model Based on Group Dynamics to Measure Convergence in Multi-party Dialogue (Rahimi & Litman, SIGDIAL 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-5046.pdf