19 citations · 56 across the 12 of their papers we have counts for
3 papers · 1 filter
Software must be recognised as an important output of scholarly research
Caroline Jay, Robert Haines, Daniel S. Katz
Software now lies at the heart of scholarly research. Here we argue that as well as being important from a methodological perspective, software should, in many instances, be recogn…
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…