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

Casey Kennington; David Schlangen

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

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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
Venues:: MMSR | WS
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)
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PDF:: https://aclanthology.org/2021.mmsr-1.8.pdf

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@inproceedings{kennington-schlangen-2021-incremental,
 title = "Incremental Unit Networks for Multimodal, Fine-grained Information State Representation",
 author = "Kennington, Casey and
 Schlangen, David",
 editor = "Donatelli, Lucia and
 Krishnaswamy, Nikhil and
 Lai, Kenneth and
 Pustejovsky, James",
 booktitle = "Proceedings of the 1st Workshop on Multimodal Semantic Representations (MMSR)",
 month = jun,
 year = "2021",
 address = "Groningen, Netherlands (Online)",
 publisher = "Association for Computational Linguistics",
 url = "https://aclanthology.org/2021.mmsr-1.8/",
 pages = "89--94",
 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."
}

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%0 Conference Proceedings
%T Incremental Unit Networks for Multimodal, Fine-grained Information State Representation
%A Kennington, Casey
%A Schlangen, David
%Y Donatelli, Lucia
%Y Krishnaswamy, Nikhil
%Y Lai, Kenneth
%Y Pustejovsky, James
%S Proceedings of the 1st Workshop on Multimodal Semantic Representations (MMSR)
%D 2021
%8 June
%I Association for Computational Linguistics
%C Groningen, Netherlands (Online)
%F kennington-schlangen-2021-incremental
%X 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.
%U https://aclanthology.org/2021.mmsr-1.8/
%P 89-94

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Markdown (Informal)

[Incremental Unit Networks for Multimodal, Fine-grained Information State Representation](https://aclanthology.org/2021.mmsr-1.8/) (Kennington & Schlangen, MMSR 2021)

Incremental Unit Networks for Multimodal, Fine-grained Information State Representation (Kennington & Schlangen, MMSR 2021)

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.