Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

MasakhaNER: Named Entity Recognition Dataset for 20 African languages.

Type de record:

dataset
Créateur:
AssAdelani, David
Éditeur:
Und
Hôte:avatar

Visit

doi.orgunderline.io

Tasks

information extractionnamed entity recognition

Tags

Natural Language Processing

Similaires

MasakhaNER: Named Entity Recognition for African LanguagesMasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionGovernment Domain Named Entity Recognition for South African LanguagesMasakhaNER: Named Entity Recognition for African Languages MasakhaNER: الاعتراف بالكيان المسمى للغات الأفريقية MasakhaNER : Reconnaissance des entités nommées pour les langues africaines MasakhaNER: Reconocimiento de Entidades Nombradas para Lenguas AfricanasNaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian LanguagesNaijaNER: Comprehensive Named Entity Recognition for 5 Nigerian Languages

MasakhaNER: Named Entity Recognition for African Languages

We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named entity recognition (NER) in ten African languages, bringing together a variety of stake

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

African languages are spoken by over a billion people, but are underrepresented in NLP research and

Government Domain Named Entity Recognition for South African Languages

This paper describes the named entity language resources developed as part of a development project for the South African languages. The development efforts focused on creating protocols and annotated data sets with at least 15,000 annotated named entity tokens for

MasakhaNER: Named Entity Recognition for African Languages MasakhaNER: الاعتراف بالكيان المسمى للغات الأفريقية MasakhaNER : Reconnaissance des entités nommées pour les langues africaines MasakhaNER: Reconocimiento de Entidades Nombradas para Lenguas Africanas

We take a step towards addressing the under-representation of the African continent in NLP research

NaijaNER : Comprehensive Named Entity Recognition for 5 Nigerian Languages

Most of the common applications of Named Entity Recognition (NER) is on English and other highly available languages. In this work, we present our findings on Named Entity Recognition for 5 Nigerian Languages (Nigerian English, Nigerian Pidgin English, Igbo, Yoruba

NaijaNER: Comprehensive Named Entity Recognition for 5 Nigerian Languages

This work explores individual and combined Named Entity Recognition in 5 Nigerian languages - Nigerian English, Pidgin, Yoruba, Hausa and Igbo.