Rogers, Anna

A primer in BERTology: What we know about how BERT works

Rogers, A., Kovaleva, O., & Rumshisky, A. (2020) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,552

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Laurençon, H., Saulnier, L., Wang, T., Akiki, C., del Moral, A. V., Scao, T. L., Von Werra, L., Mou, C., Ponferrada, E. G., Nguyen, H., et al. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 93

Data Governance in the Age of Large-Scale Data-Driven Language Technology

Jernite, Y., Nguyen, H., Biderman, S., Rogers, A., Masoud, M., Danchev, V., Tan, S., Luccioni, A. S., Subramani, N., Johnson, I., et al. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 75

‘Just What do You Think You’re Doing, Dave?’ A Checklist for Responsible Data Use in NLP

Rogers, A., Baldwin, T., & Leins, K. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Ethics and Social Impacts of AIResearch Data Management Practices

Cited by 53

Changing the World by Changing the Data

Rogers, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 51

Just What do You Think You're Doing, Dave?' A Checklist for Responsible Data Use in NLP

Rogers, A., Baldwin, T., & Leins, K. (2021) · arXiv

Ethics and Social Impacts of AIResearch Data Management Practices

Cited by 42

What Can Natural Language Processing Do for Peer Review?

Kuznetsov, I., Afzal, O. M., Dercksen, K., Dycke, N., Goldberg, A., Hope, T., Hovy, D., Kummerfeld, J. K., Lauscher, A., Leyton-Brown, K., et al. (2024) · arXiv

Academic Writing and PublishingPublishing and Scholarly Communication

Cited by 6

Program Chairs’ Report on Peer Review at ACL 2023

Rogers, A., Karpinska, M., Boyd-Graber, J., & Okazaki, N. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Publishing and Scholarly CommunicationAcademic Writing and Publishing

Cited by 5

AI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian

Puccetti, G., Rogers, A., Alzetta, C., Dell'Orletta, F., & Esuli, A. (2024) · arXiv

Authorship Attribution and ProfilingMisinformation and Its Impacts

Cited by 0