Incremental Unit Networks for Multimodal, Fine-grained Information State Representation

Casey Kennington, David Schlangen


Abstract
We offer a fine-grained information state annotation scheme that follows directly from the Incremental Unit abstract model of dialogue processing when used within a multimodal, co-located, interactive setting. We explain the Incremental Unit model and give an example application using the Localized Narratives dataset, then offer avenues for future research.
Anthology ID:
2021.mmsr-1.8
Volume:
Proceedings of the 1st Workshop on Multimodal Semantic Representations (MMSR)
Month:
June
Year:
2021
Address:
Groningen, Netherlands (Online)
Editors:
Lucia Donatelli, Nikhil Krishnaswamy, Kenneth Lai, James Pustejovsky
Venue:
MMSR
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
89–94
Language:
URL:
https://aclanthology.org/2021.mmsr-1.8
DOI:
Bibkey:
Cite (ACL):
Casey Kennington and David Schlangen. 2021. Incremental Unit Networks for Multimodal, Fine-grained Information State Representation. In Proceedings of the 1st Workshop on Multimodal Semantic Representations (MMSR), pages 89–94, Groningen, Netherlands (Online). Association for Computational Linguistics.
Cite (Informal):
Incremental Unit Networks for Multimodal, Fine-grained Information State Representation (Kennington & Schlangen, MMSR 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.mmsr-1.8.pdf
Data
Localized Narratives