Beyond Counting: Measuring Diagram Intensity in Mathematical Research Papers

Henrik Kragh Sørensen*

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Abstract

In the Diagrams 2020 conference, we (Mikkel Willum Johansen and myself) reported on our first successes with machine-learning agents identifying and counting diagrams in mathematical papers. One year later, we have progressed, and in this paper I present and discuss ways of creating evidence on the use of diagrams in mathematical publications. Studying a corpus of mathematical journals from the early 21st century and focusing on the intensity of their reliance on diagrams, I explore different means of measuring the use of diagrams as a precursor to further studying their integration into the mathematical argument.

OriginalsprogEngelsk
TitelDiagrammatic Representation and Inference - 12th International Conference, Diagrams 2021, Proceedings
RedaktørerAmrita Basu, Gem Stapleton, Sven Linker, Catherine Legg, Emmanuel Manalo, Petrucio Viana
Antal sider8
ForlagSpringer
Publikationsdato2021
Udgave1
Sider63-70
ISBN (Trykt)9783030860615
DOI
StatusUdgivet - 2021
Begivenhed12th International Conference on the Theory and Application of Diagrams, Diagrams 2021 - Virtual, Online
Varighed: 28 sep. 202130 sep. 2021

Konference

Konference12th International Conference on the Theory and Application of Diagrams, Diagrams 2021
ByVirtual, Online
Periode28/09/202130/09/2021
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind12909 LNAI
ISSN0302-9743

Bibliografisk note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

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