Kreutzer, Julia

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Kreutzer, J., Caswell, I., Wang, L., Wahab, A., van Esch, D., Ulzii-Orshikh, N., Tapo, A., Subramani, N., Sokolov, A., Sikasote, C., et al. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 179

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Kreutzer, J., Caswell, I., Wang, L., Wahab, A., van Esch, D., Ulzii-Orshikh, N., Tapo, A., Subramani, N., Sokolov, A., Sikasote, C., et al. (2022) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 179

Masakhane -- Machine Translation For Africa

Orife, I., Kreutzer, J., Sibanda, B., Whitenack, D., Siminyu, K., Martinus, L., Ali, J. T., Abbott, J., Marivate, V., Kabongo, S., et al. (2020) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 51

Can Neural Machine Translation be Improved with User Feedback?

Kreutzer, J., Khadivi, S., Matusov, E., & Riezler, S. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)

Natural Language Processing TechniquesSpeech Recognition and Synthesis

Cited by 49

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning

Kreutzer, J., Uyheng, J., & Riezler, S. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 38

LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives

Shimabucoro, L., Ruder, S., Kreutzer, J., Fadaee, M., & Hooker, S. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingEthics and Social Impacts of AI

Cited by 24