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  • 标题:A Systematic Review of Reproducibility Research in Natural Language Processing
  • 本地全文:下载
  • 作者:Anya Belz ; Shubham Agarwal ; Anastasia Shimorina
  • 期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
  • 出版年度:2021
  • 卷号:2021
  • 页码:381-393
  • DOI:10.18653/v1/2021.eacl-main.29
  • 语种:English
  • 出版社:ACL Anthology
  • 摘要: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.
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