Papers Without Code: Availability of GitHub Repositories Linked in *CL Publications
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Abstract (arXiv)
Source code and data published at computational linguistics (*CL) venues are increasingly being shared via GitHub. While this generally is a favourable development for the accessibility and potential reusability of research artifacts in natural language processing (NLP), the long-term availability of such repositories has not been evaluated. In this squib, we discuss the availability of repositories linked in papers published in the Computational Linguistics (CL) journal as well as at ACL and its co-located events over the past ten years. Contrary to our expectations, we find that GitHub repositories linked in more recent ACL publications are unavailable at similar rates as in older publications, in parts due to an increase in empty and placeholder repositories. Similar trends hold for other *CL venues, but not for platforms other than GitHub.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 35 references that are in the map. First posted on arXiv 28 Sep 2026.
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References · 6
- 2020Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)cited by 322
- 2019Show Your Work: Improved Reporting of Experimental Resultscited by 169
- 2021A Systematic Review of Reproducibility Research in Natural Language Processingcited by 34
- 2023Reproducibility in NLP: What Have We Learned from the Checklist?cited by 18
- 2013Practices in source code sharing in astrophysicscited by 4
- 2024An analysis of the effects of sharing research data, code, and preprints on citationscited by 1
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