82 citations · 110 across the 25 of their papers we have counts for
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cs.CL2021★ 7 cited
Quantifying Reproducibility in NLP and ML
Anya Belz
Reproducibility has become an intensely debated topic in NLP and ML over recent years, but no commonly accepted way of assessing reproducibility, let alone quantifying it, has so f…
cs.CL2021★ 82 cited
A Systematic Review of Reproducibility Research in Natural Language Processing
Anya Belz, Shubham Agarwal, Anastasia Shimorina +1
Against the background of what has been termed a reproducibility crisis in science, the NLP field is becoming increasingly interested in, and conscientious about, the reproducibili…
cs.CL2021★ 1 cited
The Human Evaluation Datasheet 1.0: A Template for Recording Details of Human Evaluation Experiments in NLP
Anastasia Shimorina, Anya Belz
This paper introduces the Human Evaluation Datasheet, a template for recording the details of individual human evaluation experiments in Natural Language Processing (NLP). Original…