Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework
August 26, 2020 Β· Declared Dead Β· π arXiv.org
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Authors
Guy Clarke Marshall, Caroline Jay, AndrΓ© Freitas
arXiv ID
2008.11785
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CL
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We utilise Richards-Engelhardt framework as a tool for understanding Natural Language Processing systems diagrams. Through four examples from scholarly proceedings, we find that the application of the framework to this ecological and complex domain is effective for reflecting on these diagrams. We argue for vocabulary to describe multiple-codings, semiotic variability, and inconsistency or misuse of visual encoding principles in diagrams. Further, for application to scholarly Natural Language Processing systems, and perhaps systems diagrams more broadly, we propose the addition of "Grouping by Object" as a new visual encoding principle, and "Emphasising" as a new visual encoding type.
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