| Bloom: A 176b-parameter open-access multilingual language model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022 | 199 | 2022 |
| Demographic inference and representative population estimates from multilingual social media data Z Wang, S Hale, DI Adelani, P Grabowicz, T Hartman, F Flöck, D Jurgens The world wide web conference, 2056-2067, 2019 | 153 | 2019 |
| Generating sentiment-preserving fake online reviews using neural language models and their human-and machine-based detection DI Adelani, H Mai, F Fang, HH Nguyen, J Yamagishi, I Echizen Advanced Information Networking and Applications: Proceedings of the 34th …, 2020 | 80 | 2020 |
| MasakhaNER: Named entity recognition for African languages DI Adelani, J Abbott, G Neubig, D D’souza, J Kreutzer, C Lignos, ... Transactions of the Association for Computational Linguistics 9, 1116-1131, 2021 | 51* | 2021 |
| Transfer learning and distant supervision for multilingual transformer models: A study on African languages MA Hedderich, D Adelani, D Zhu, J Alabi, U Markus, D Klakow Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 37 | 2020 |
| Massive vs. curated embeddings for low-resourced languages: the case of Yorùbá and Twi J Alabi, K Amponsah-Kaakyire, D Adelani, C Espana-Bonet Proceedings of the 12th Language Resources and Evaluation Conference, 2754-2762, 2020 | 37* | 2020 |
| Naijasenti: A nigerian twitter sentiment corpus for multilingual sentiment analysis SH Muhammad, DI Adelani, IS Ahmad, I Abdulmumin, BS Bello, ... Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022 | 24 | 2022 |
| Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning JO Alabi, DI Adelani, M Mosbach, D Klakow Proceedings of the 29th International Conference on Computational …, 2022 | 23 | 2022 |
| Unsupervised pidgin text generation by pivoting english data and self-training E Chang, DI Adelani, X Shen, V Demberg 1st Workshop on African Natural Language Processing, 2020 | 20 | 2020 |
| The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation DI Adelani, D Ruiter, JO Alabi, D Adebonojo, A Ayeni, M Adeyemi, ... Proceedings of Machine Translation Summit XVIII: Research Track, 61–75, 2021 | 19* | 2021 |
| Investigating the impact of pre-trained word embeddings on memorization in neural networks A Thomas, DI Adelani, A Davody, A Mogadala, D Klakow Text, Speech, and Dialogue: 23rd International Conference, TSD 2020, Brno …, 2020 | 18 | 2020 |
| A secure e-voting architecture AS Sodiya, SA Onashoga, DI Adelani 2011 Eighth International Conference on Information Technology: New …, 2011 | 17 | 2011 |
| The bigscience roots corpus: A 1.6 tb composite multilingual dataset H Laurençon, L Saulnier, T Wang, C Akiki, A Villanova del Moral, ... Advances in Neural Information Processing Systems 35, 31809-31826, 2022 | 16 | 2022 |
| A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation DI Adelani, JO Alabi, A Fan, J Kreutzer, X Shen, M Reid, D Ruiter, ... Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 16* | 2022 |
| Privacy guarantees for de-identifying text transformations DI Adelani, A Davody, T Kleinbauer, D Klakow Proc. Interspeech 2020, 4666--4670, 2020 | 15 | 2020 |
| MCSE: Multimodal Contrastive Learning of Sentence Embeddings M Zhang, M Mosbach, DI Adelani, MA Hedderich, D Klakow Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 12 | 2022 |
| Estimating community feedback effect on topic choice in social media with predictive modeling DI Adelani, R Kobayashi, I Weber, PA Grabowicz EPJ Data Science 9 (1), 1-23, 2020 | 10 | 2020 |
| Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ESA Lee, S Thillainathan, S Nayak, S Ranathunga, DI Adelani, R Su, ... Findings of the Association for Computational Linguistics: ACL 2022, 2022 | 9 | 2022 |
| Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yor\ub\'a DI Adelani, MA Hedderich, D Zhu, E Berg, D Klakow Practical ML for Developing Countries Workshop @ICLR, 2020 | 9 | 2020 |
| AI4D--African Language Program K Siminyu, G Kalipe, D Orlic, J Abbott, V Marivate, S Freshia, P Sibal, ... AfricaNLP 2021, 2021 | 8 | 2021 |
Dietrich KlakowSaarland University, Saarland Informatics CampusVerified email at lsv.uni-saarland.de
