Google Research

MasakhaNER: Named Entity Recognition for African Languages

  • David Ifeoluwa Adelani
  • Jade Abbott
  • Graham Neubig
  • Daniel D'souza
  • Julia Kreutzer
  • Constantine Lignos
  • Chester Palen-Michel
  • Happy Buzaaba
  • Shruti Rijhwani
  • Sebastian Ruder
  • Stephen Mayhew
  • Israel Abebe Azime
  • Shamsuddeen Muhammad
  • Chris Chinenye Emezue
  • Joyce Nakatumba-Nabende
  • Perez Ogayo
  • Anuoluwapo Aremu
  • Catherine Gitau
  • Derguene Mbaye
  • Jesujoba Alabi
  • Seid Muhie Yimam
  • Tajuddeen Gwadabe
  • Ignatius Ezeani
  • Rubungo Andre Niyongabo
  • Jonathan Mukiibi
  • Verrah Otiende
  • Iroro Orife
  • Davis David
  • Samba Ngom
  • Tosin Adewumi
  • Paul Rayson
  • Mofetoluwa Adeyemi
  • Gerald Muriuki
  • Emmanuel Anebi
  • Chiamaka Chukwuneke
  • Nkiruka Odu
  • Eric Peter Wairagala
  • Samuel Oyerinde
  • Clemencia Siro
  • Tobius Saul Bateesa
  • Temilola Oloyede
  • Yvonne Wambui
  • Victor Akinode
  • Deborah Nabagereka
  • Maurice Katusiime
  • Ayodele Awokoya
  • Mouhamadane MBOUP
  • Dibora Gebreyohannes
  • Henok Tilaye
  • Kelechi Nwaike
  • Degaga Wolde
  • Abdoulaye Faye
  • Blessing Sibanda
  • Orevaoghene Ahia
  • Bonaventure F. P. Dossou
  • Kelechi Ogueji
  • Thierno Ibrahima DIOP
  • Abdoulaye Diallo
  • Adewale Akinfaderin
  • Tendai Marengereke
  • Salomey Osei
AfricaNLP (2021)

Abstract

We take a step towards addressing the underrepresentation of the African continent in NLP research by creating the first large publicly available high­quality dataset for named entity recognition (NER) in ten African languages, bringing together a variety of stakeholders. We detail characteristics of the languages to help researchers understand the challenges that these languages pose for NER. We analyze our datasets and conduct an extensive empirical evaluation of state­of­the­art methods across both supervised and transfer learning settings. We release the data, code, and models in order to inspire future research on African NLP.

Learn more about how we do research

We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work