Masakhaner 2.0: Africa-centric transfer learning for named entity recognition

DI Adelani, G Neubig, S Ruder, S Rijhwani… - arXiv preprint arXiv …, 2022 - arxiv.org
African languages are spoken by over a billion people, but are underrepresented in NLP
research and development. The challenges impeding progress include the limited …
被引用次数：19 相关文章

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

D Adelani, G Neubig, S Ruder, S Rijhwani… - Proceedings of the …, 2022 - aclanthology.org
African languages are spoken by over a billion people, but they are under-represented in
NLP research and development. Multiple challenges exist, including the limited availability …

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

DI Adelani, G Neubig, S Ruder… - … of the 2022 …, 2022 - scholarworks.brandeis.edu
Abstract Computer and Information Sciences Computer Sciences Data-och
informationsvetenskap Datavetenskap (datalogi) Language Technology (Computational …

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

DI Adelani, G Neubig, S Ruder, S Rijhwani… - 2022 Conference on …, 2022 - diva-portal.org
African languages are spoken by over a billion people, but are underrepresented in NLP
research and development. The challenges impeding progress include the limited …

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

DI Adelani, G Neubig, S Ruder… - Proceedings of the …, 2022 - discovery.ucl.ac.uk
African languages are spoken by over a billion people, but are underrepresented in NLP
research and development. The challenges impeding progress include the limited …

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

DI Adelani, G Neubig, S Ruder, S Rijhwani… - 2022 - scholarworks.brandeis.edu
African languages are spoken by over a billion people, but are underrepresented in NLP
research and development. The challenges impeding progress include the limited …