Towards neural named entity recognition system in Tigrinya with large-scale dataset.

The scarcity of annotated datasets remains a significant impediment to Natural Language Processing (NLP) advancement in low-resourced languages. In this work, we introduce a large-scale annotated Tigrinya Named Entity Recognition (NER) Corpus along with state-of-the-art models for Tigrinya NER. Our...

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Publicado en:	Language Resources & Evaluation Vol. 59; no. 3; pp. 3311 - 3340
Autores principales:	Berhane, Sham K., Beyene, Simon M., Teklit, Yoel G., Ibrahim, Ibrahim A., Teklu, Natnael A., Bereketeab, Sirak A., Gaim, Fitsum
Formato:	Conference Paper/Materials
Publicado:	Springer Nature Sep2025
Materias:	Natural language processing Low-resource languages Data mining Morphology (Grammar) Artificial neural networks Transformer models Corpora
Acceso en línea:	Ver este registro en EBSCOhost