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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2021.mmsr-1.8.pdf
- Data
- Localized Narratives