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

Casey Kennington; David Schlangen

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

Casey Kennington, David Schlangen

Computer Science Department

University of Potsdam

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We offer a sketch of 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.

Original language	English
Title of host publication	MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop
Editors	Lucia Donatelli, Nikhil Krishnaswamy, Kenneth Lai, James Pustejovsky
Pages	89-94
Number of pages	6
ISBN (Electronic)	9781954085213
State	Published - 2021
Event	1st Workshop on Multimodal Semantic Representations, MMSR 2021 - Virtual, Groningen, Netherlands Duration: 16 Jun 2021 → …

Publication series

Name	MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop

Conference

Conference	1st Workshop on Multimodal Semantic Representations, MMSR 2021
Country/Territory	Netherlands
City	Virtual, Groningen
Period	16/06/21 → …

Cite this

Kennington, C., & Schlangen, D. (2021). Incremental Unit Networks for Multimodal, Fine-grained Information State Representation. In L. Donatelli, N. Krishnaswamy, K. Lai, & J. Pustejovsky (Eds.), MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop (pp. 89-94). (MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop).

Kennington, Casey ; Schlangen, David. / Incremental Unit Networks for Multimodal, Fine-grained Information State Representation. MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop. editor / Lucia Donatelli ; Nikhil Krishnaswamy ; Kenneth Lai ; James Pustejovsky. 2021. pp. 89-94 (MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop).

@inproceedings{9165305eab8c4ce8b787b274e759d1b9,

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

abstract = "We offer a sketch of 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.",

author = "Casey Kennington and David Schlangen",

note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics; 1st Workshop on Multimodal Semantic Representations, MMSR 2021 ; Conference date: 16-06-2021",

year = "2021",

language = "English",

series = "MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop",

pages = "89--94",

editor = "Lucia Donatelli and Nikhil Krishnaswamy and Kenneth Lai and James Pustejovsky",

booktitle = "MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop",

}

Kennington, C & Schlangen, D 2021, Incremental Unit Networks for Multimodal, Fine-grained Information State Representation. in L Donatelli, N Krishnaswamy, K Lai & J Pustejovsky (eds), MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop. MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop, pp. 89-94, 1st Workshop on Multimodal Semantic Representations, MMSR 2021, Virtual, Groningen, Netherlands, 16/06/21.

Incremental Unit Networks for Multimodal, Fine-grained Information State Representation. / Kennington, Casey; Schlangen, David.
MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop. ed. / Lucia Donatelli; Nikhil Krishnaswamy; Kenneth Lai; James Pustejovsky. 2021. p. 89-94 (MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Incremental Unit Networks for Multimodal, Fine-grained Information State Representation

AU - Kennington, Casey

AU - Schlangen, David

PY - 2021

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N2 - We offer a sketch of 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.

AB - We offer a sketch of 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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M3 - Conference contribution

AN - SCOPUS:85133007410

T3 - MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop

SP - 89

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BT - MMSR 2021 - Multimodal Semantic Representations, Proceedings of the 1st Workshop

A2 - Donatelli, Lucia

A2 - Krishnaswamy, Nikhil

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ER -

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

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Publication series

Conference

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