Andiswa Bukula
Orcid: 0000-0002-6667-4599
According to our database1,
Andiswa Bukula
authored at least 12 papers
between 2022 and 2025.
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Bibliography
2025
INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages.
CoRR, February, 2025
AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2023
AfriMTE and AfriCOMET: Empowering COMET to Embrace Under-resourced African Languages.
CoRR, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022