Abstract
Common grounding is the process of creating and maintaining mutual understandings, which is a critical aspect of sophisticated human communication. While various task settings have been proposed in existing literature, they mostly focus on creating common ground under a static context and ignore the aspect of maintaining them overtime under dynamic context. In this work, we propose a novel task setting to study the ability of both creating and maintaining common ground in dynamic environments. Based on our minimal task formulation, we collected a large-scale dataset of 5,617 dialogues to enable fine-grained evaluation and analysis of various dialogue systems. Through our dataset analyses, we highlight novel challenges introduced in our setting, such as the usage of complex spatio-temporal expressions to create and maintain common ground. Finally, we conduct extensive experiments to assess the capabilities of our baseline dialogue system and discuss future prospects of our research.- Anthology ID:
- 2021.tacl-1.59
- Volume:
- Transactions of the Association for Computational Linguistics, Volume 9
- Month:
- Year:
- 2021
- Address:
- Cambridge, MA
- Editors:
- Brian Roark, Ani Nenkova
- Venue:
- TACL
- SIG:
- Publisher:
- MIT Press
- Note:
- Pages:
- 995–1011
- Language:
- URL:
- https://aclanthology.org/2021.tacl-1.59
- DOI:
- 10.1162/tacl_a_00409
- Cite (ACL):
- Takuma Udagawa and Akiko Aizawa. 2021. Maintaining Common Ground in Dynamic Environments. Transactions of the Association for Computational Linguistics, 9:995–1011.
- Cite (Informal):
- Maintaining Common Ground in Dynamic Environments (Udagawa & Aizawa, TACL 2021)
- PDF:
- https://preview.aclanthology.org/ingest-2024-clasp/2021.tacl-1.59.pdf