Abstract
Collaborative grounding is a fundamental aspect of human-human dialog which allows people to negotiate meaning. In this paper we argue that it is missing from current deep learning approaches to dialog. Our central point is that making mistakes and being able to recover from them collaboratively is a key ingredient in grounding meaning. We illustrate the pitfalls of being unable to ground collaboratively, discuss what can be learned from the language acquisition and dialog systems literature, and reflect on how to move forward.- Anthology ID:
- 2021.eacl-main.41
- Volume:
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Editors:
- Paola Merlo, Jorg Tiedemann, Reut Tsarfaty
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 515–531
- Language:
- URL:
- https://aclanthology.org/2021.eacl-main.41
- DOI:
- 10.18653/v1/2021.eacl-main.41
- Cite (ACL):
- Luciana Benotti and Patrick Blackburn. 2021. Grounding as a Collaborative Process. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 515–531, Online. Association for Computational Linguistics.
- Cite (Informal):
- Grounding as a Collaborative Process (Benotti & Blackburn, EACL 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2021.eacl-main.41.pdf
- Data
- GuessWhat?!