activity
20192021
most citedAI2D-RST: A multimodal corpus of 1000 primary school science diagrams

35 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021★ 5 cited

Applied Language Technology: NLP for the Humanities

Tuomo Hiippala

This contribution describes a two-course module that seeks to provide humanities majors with a basic understanding of language technology and its applications using Python. The lea…

cs.CL2021★ 12 cited

Semiotically-grounded distant viewing of diagrams: insights from two multimodal corpora

Tuomo Hiippala, John A. Bateman

In this article, we bring together theories of multimodal communication and computational methods to study how primary school science diagrams combine multiple expressive resources…

cs.CL2020★ 2 cited

Introducing the diagrammatic semiotic mode

Tuomo Hiippala, John A. Bateman

As the use and diversity of diagrams across many disciplines grows, there is an increasing interest in the diagrams research community concerning how such diversity might be docume…

cs.CL2019

Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations

Tuomo Hiippala

This article compares two multimodal resources that consist of diagrams which describe topics in elementary school natural sciences. Both resources contain the same diagrams and re…

cs.CL2019★ 35 cited

AI2D-RST: A multimodal corpus of 1000 primary school science diagrams

Tuomo Hiippala, Malihe Alikhani, Jonas Haverinen +6

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, mo…