Search Results for author: Guy Clarke Marshall

Found 6 papers, 0 papers with code

Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework

no code implementations26 Aug 2020 Guy Clarke Marshall, Caroline Jay, André Freitas

We utilise Richards-Engelhardt framework as a tool for understanding Natural Language Processing systems diagrams.

A Framework for Improving Scholarly Neural Network Diagrams

no code implementations28 Aug 2020 Guy Clarke Marshall, André Freitas, Caroline Jay

Neural networks are a prevalent and effective machine learning component, and their application is leading to significant scientific progress in many domains.

Number and quality of diagrams in scholarly publications is associated with number of citations

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

We analyse a corpus of diagrams found in scholarly computational linguistics conference proceedings (ACL 2017), and find inclusion of a system diagram to be correlated with higher numbers of citations after 3 years.

Why scholars are diagramming neural network models

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

Perhaps because of this, diagrams, as "icons of relation", are a prevalent medium for signifying complex models.

Structuralist analysis for neural network system diagrams

no code implementations30 Apr 2021 Guy Clarke Marshall, Caroline Jay, Andre Freitas

Using a corpus-based approach, we argue that the heterogeneous diagrammatic notations used for neural network systems has implications for signification in this domain.

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