A Systematic Review of Reproducibility Research in Natural Language Processing - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

A Systematic Review of Reproducibility Research in Natural Language Processing

Résumé

Against the background of what has beentermed 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, delineating differences and similarities, and providing pointers to common denominators.

Dates et versions

hal-03466170 , version 1 (04-12-2021)

Identifiants

Citer

Anya Belz, Shubham Agarwal, Anastasia Shimorina, Ehud Reiter. A Systematic Review of Reproducibility Research in Natural Language Processing. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Apr 2021, Online, France. pp.381-393, ⟨10.18653/v1/2021.eacl-main.29⟩. ⟨hal-03466170⟩
26 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More