#artificial intelligence
Jun 2026
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
The results show that annotation reporting in NLP has improved over time but remains uneven, and they establish a scalable framework and bare-minimum reporting recommendations for making human annotation more reliable, reproducible, and interpretable.
M. Kunilovskaya, Gagan Bhatia, Lisa Sophie Albertelli et al.
· arXiv.org · 0 citations