7 papers
Switching Contexts: Transportability Measures for NLP
Guy Marshall, Mokanarangan Thayaparan, Philip Osborne +1
This paper explores the topic of transportability, as a sub-area of generalisability. By proposing the utilisation of metrics based on well-established statistics, we are able to e…
Number and quality of diagrams in scholarly publications is associated with number of citations
Guy Clarke Marshall, Caroline Jay, Andre Freitas
Diagrams are often used in scholarly communication. We analyse a corpus of diagrams found in scholarly computational linguistics conference proceedings (ACL 2017), and find inclusi…
Structuralist analysis for neural network system diagrams
Guy Clarke Marshall, Caroline Jay, Andre Freitas
This short paper examines diagrams describing neural network systems in academic conference proceedings. Many aspects of scholarly communication are controlled, particularly with r…
Why scholars are diagramming neural network models
Guy Clarke Marshall, Caroline Jay, Andre Freitas
Complex models, such as neural networks (NNs), are comprised of many interrelated components. In order to represent these models, eliciting and characterising the relations between…
Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework
Guy Clarke Marshall, Caroline Jay, André Freitas
We utilise Richards-Engelhardt framework as a tool for understanding Natural Language Processing systems diagrams. Through four examples from scholarly proceedings, we find that th…
A Framework for Improving Scholarly Neural Network Diagrams
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. As the field of neura…