Emmanuel Anebi
2 Papers
Emmanuel Anebi is an academic researcher. The author has contributed to research in topics: Languages of Africa & Named-entity recognition. The author has an hindex of 1, co-authored 2 publications.
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Papers
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 Hassan Muhammad,Shamsuddeen Hassan Muhammad,Chris Chinenye Emezue,Joyce Nakatumba-Nabende,Perez Ogayo,Aremu Anuoluwapo,Catherine Gitau,Derguene Mbaye,Jesujoba O. Alabi,Seid Muhie Yimam,Tajuddeen R. Gwadabe,Ignatius Ezeani,Rubungo Andre Niyongabo,Jonathan Mukiibi,Verrah Otiende,Iroro Orife,Davis David,Samba Ngom,Tosin P. 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 +61 more
TL;DR: In this article, the authors present the first large, publicly available, high-quality dataset for named entity recognition (NER) in ten African languages and conduct an extensive empirical evaluation of state-of-the-art methods across both supervised and transfer learning settings.
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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 Hassan Muhammad,Chris Chinenye Emezue,Joyce Nakatumba-Nabende,Perez Ogayo,Anuoluwapo Aremu,Catherine Gitau,Derguene Mbaye,Jesujoba O. Alabi,Seid Muhie Yimam,Tajuddeen R. Gwadabe,Ignatius Ezeani,Rubungo Andre Niyongabo,Jonathan Mukiibi,Verrah Otiende,Iroro Orife,Davis David,Samba Ngom,Tosin P. 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 +60 more
TL;DR: The first publicly available high-quality dataset for named entity recognition (NER) in ten African languages is presented in this paper, with the goal of addressing the underrepresentation of the African continent in NLP research.