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AI2D-RST: A multimodal corpus of 1000 primary school science diagrams
[article]
2020
arXiv
pre-print
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This article introduces AI2D-RST, a multimodal corpus of 1000 English-language diagrams that represent topics in primary school natural sciences, such as food webs, life cycles, moon phases and human physiology ...
Building on the segmentation of diagram layouts in AI2D, the AI2D-RST corpus presents a new multi-layer annotation schema that provides a rich description of their multimodal structure. ...
In this article, we make a novel contribution to the study of diagrams by presenting AI2D-RST, a corpus of 1000 English-language diagrams that represent topics in primary school natural sciences. ...
arXiv:1912.03879v2
fatcat:bzorpln4enhmzct3jhjabkoxie
AI2D-RST: a multimodal corpus of 1000 primary school science diagrams
2020
Language Resources and Evaluation
Preserved Fulltext
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AbstractThis article introduces AI2D-RST, a multimodal corpus of 1000 English-language diagrams that represent topics in primary school natural sciences, such as food webs, life cycles, moon phases and ...
Building on the segmentation of diagram layouts in AI2D, the AI2D-RST corpus presents a new multi-layer annotation schema that provides a rich description of their multimodal structure. ...
corpus of 1000 primary school science diagrams
AI2D-RST discourse structure graph 1. ...
doi:10.1007/s10579-020-09517-1
fatcat:el3xk2art5f3fjcmvkg3prwtce
Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations
[article]
2019
arXiv
pre-print
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This article compares two multimodal resources that consist of diagrams which describe topics in elementary school natural sciences. ...
This article reports on two experiments that evaluate how effectively crowd-sourced and expert-annotated graphs can represent the multimodal structure of diagrams for representation learning using various ...
Here the aim is to evaluate to what extent graph neural networks can learn about the generic structure of primary school science diagrams from the graph-based representations in AI2D and AI2D-RST. ...
arXiv:1912.02866v1
fatcat:u4snprup2jhkvazmoew5rhibf4
Semiotically-grounded distant viewing of diagrams: insights from two multimodal corpora
[article]
2021
arXiv
pre-print
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In this article, we bring together theories of multimodal communication and computational methods to study how primary school science diagrams combine multiple expressive resources. ...
diagrams as a mode of communication. ...
The AI2D-RST corpus covers 1000 diagrams from AI2D. ...
arXiv:2103.04692v1
fatcat:c4pv6vinmrbybcgg3gkxhcqdiu
Introducing the diagrammatic semiotic mode
[article]
2022
arXiv
pre-print
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within the field of multimodality. ...
We illustrate the proposed approach using two recent diagram corpora and show how a multimodal approach supports the empirical analysis of diagrammatic representations, especially in identifying diagrammatic ...
AI2D-RST -a multimodally-motivated annotation schema The second corpus considered here, AI2D-RST, covers 1000 diagrams taken from the AI2D corpus and is annotated using a new schema by experts specifically ...
arXiv:2001.11224v2
fatcat:ntmpmximt5hjbdt2xnd3kthfjq