A Systematic Review of Reproducibility Research in Natural Language Processing

Anya Belz, Shubham Agarwal, Anastasia Shimorina, Ehud Reiter


Abstract
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 reproducibility of its results. The past few years have seen an impressive range of new initiatives, events and active research in the area. However, the field is far from reaching a consensus about how reproducibility should be defined, measured and addressed, with diversity of views currently increasing rather than converging. With this focused contribution, we aim to provide a wide-angle, and as near as possible complete, snapshot of current work on reproducibility in NLP,
Anthology ID:
2021.eacl-main.29
Volume:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Month:
April
Year:
2021
Address:
Online
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
381–393
Language:
URL:
https://aclanthology.org/2021.eacl-main.29
DOI:
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PDF:
https://aclanthology.org/2021.eacl-main.29.pdf