mlsanityData to 13 Oct 2026

Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research

arXiv 2406.06021 ↗First posted 10 Jun 2024cs.CLcited by 4

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Abstract (arXiv)

We analysed a sample of NLP research papers archived in ACL Anthology as an attempt to quantify the degree of openness and the benefit of such an open culture in the NLP community. We observe that papers published in different NLP venues show different patterns related to artefact reuse. We also note that more than 30% of the papers we analysed do not release their artefacts publicly, despite promising to do so. Further, we observe a wide language-wise disparity in publicly available NLP-related artefacts.

Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). Builds on 7 of its 14 references that are in the map. First posted on arXiv 10 Jun 2024.

Builds on

7 of 14 references.

References · 7

  1. 2020The State and Fate of Linguistic Diversity and Inclusion in the NLP Worldcited by 792
  2. 2020Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)cited by 319
  3. 2021Systematic Inequalities in Language Technology Performance across the World's Languagescited by 119
  4. 2022Some Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP Worldcited by 55
  5. 2019Survey on Publicly Available Sinhala Natural Language Processing Tools and Researchcited by 46
  6. 2022Evaluating the Diversity, Equity and Inclusion of NLP Technology: A Case Study for Indian Languagescited by 20
  7. 2022Geographic Citation Gaps in NLP Researchcited by 19

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.