4 citations · 5 across the 4 of their papers we have counts for
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cs.DL2023★ 1 cited
Investigating Reproducibility at Interspeech Conferences: A Longitudinal and Comparative Perspective
Mohammad Arvan, A. Seza Doğruöz, Natalie Parde
Reproducibility is a key aspect for scientific advancement across disciplines, and reducing barriers for open science is a focus area for the theme of Interspeech 2023. Availabilit…
cs.CL2023★ 4 cited
Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP
Anya Belz, Craig Thomson, Ehud Reiter +39
We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/le…