MasakhaNER: Named Entity Recognition for African Languages-Reference-Cited by-同舟云学术

MasakhaNER: Named Entity Recognition for African Languages

Published:2021 Issue: Volume:9 Page:1116-1131
ISSN:2307-387X
Container-title:Transactions of the Association for Computational Linguistics
language:en
Short-container-title:

Author:

Adelani David Ifeoluwa¹²,Abbott Jade³²,Neubig Graham⁴,D’souza Daniel⁵²,Kreutzer Julia⁶²,Lignos Constantine⁷²,Palen-Michel Chester⁷²,Buzaaba Happy⁸²,Rijhwani Shruti⁴,Ruder Sebastian⁹,Mayhew Stephen¹⁰,Azime Israel Abebe¹¹²,Muhammad Shamsuddeen H.¹²¹³²,Emezue Chris Chinenye¹⁴²,Nakatumba-Nabende Joyce¹⁵²,Ogayo Perez¹⁶²,Anuoluwapo Aremu¹⁷²,Gitau Catherine²,Mbaye Derguene²,Alabi Jesujoba¹⁸²,Yimam Seid Muhie¹⁹,Gwadabe Tajuddeen Rabiu²⁰²,Ezeani Ignatius²¹²,Niyongabo Rubungo Andre²²²,Mukiibi Jonathan¹⁵,Otiende Verrah²³²,Orife Iroro²⁴²,David Davis²,Ngom Samba²,Adewumi Tosin²⁵²,Rayson Paul²¹,Adeyemi Mofetoluwa²,Muriuki Gerald¹⁵,Anebi Emmanuel²,Chukwuneke Chiamaka²¹,Odu Nkiruka²⁶,Wairagala Eric Peter¹⁵,Oyerinde Samuel²,Siro Clemencia²,Bateesa Tobius Saul¹⁵,Oloyede Temilola²,Wambui Yvonne²,Akinode Victor²,Nabagereka Deborah¹⁵,Katusiime Maurice¹⁵,Awokoya Ayodele²⁷²,MBOUP Mouhamadane²,Gebreyohannes Dibora²,Tilaye Henok²,Nwaike Kelechi²,Wolde Degaga²,Faye Abdoulaye²,Sibanda Blessing²⁸²,Ahia Orevaoghene²⁹²,Dossou Bonaventure F. P.³⁰²,Ogueji Kelechi³¹²,DIOP Thierno Ibrahima²,Diallo Abdoulaye²,Akinfaderin Adewale²,Marengereke Tendai²,Osei Salomey¹¹²

Affiliation:

1. Spoken Language Systems Group (LSV), Saarland University, Germany

2. Masakhane NLP

3. Retro Rabbit, South Africa

4. Language Technologies Institute, Carnegie Mellon University, United States

5. ProQuest, United States

6. Google Research, Canada

7. Brandeis University, United States

8. Graduate School of Systems and Information Engineering, University of Tsukuba, Japan

9. DeepMind, United Kingdom

10. Duolingo, United States

11. African Institute for Mathematical Sciences (AIMS-AMMI), Ethiopia

12. University of Porto, Nigeria

13. Bayero University, Kano, Nigeria

14. Technical University of Munich, Germany

15. Makerere University, Kampala, Uganda

16. African Leadership University, Rwanda

17. University of Lagos, Nigeria

18. Max Planck Institute for Informatics, Germany

19. LT Group, Universität Hamburg, Germany

20. University of Chinese Academy of Science, China

21. Lancaster University, United Kingdom

22. University of Electronic Science and Technology of China, China

23. United States International University - Africa (USIU-A), Kenya

24. Niger-Volta LTI

25. Luleo University of Technology, Sweden

26. African University of Science and Technology, Abuja, Nigeria

27. University of Ibadan, Nigeria

28. Namibia University of Science and Technology, Namibia

29. Instadeep, Nigeria

30. Jacobs University Bremen, Germany

31. University of Waterloo, Canada

Abstract

Abstract We take a step towards addressing the under- representation of the African continent in NLP research by bringing together different stakeholders to create the first large, publicly available, high-quality dataset for named entity recognition (NER) in ten African languages. We detail the characteristics of these languages to help researchers and practitioners better understand the challenges they pose for NER tasks. We analyze our datasets and conduct an extensive empirical evaluation of state- of-the-art methods across both supervised and transfer learning settings. Finally, we release the data, code, and models to inspire future research on African NLP.1

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,Computer Science Applications,Linguistics and Language,Human-Computer Interaction,Communication

Link

http://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00416/1966201/tacl_a_00416.pdf

Reference56 articles.

1. MENYO-20k: A multi-domain english-yorùbá corpus for machine translation and domain adaptation;Adelani;ArXiv,2021

2. JW300: A wide-coverage parallel corpus for low-resource languages;Agić,2019

3. Massive vs. curated embeddings for low-resourced languages: The case of Yorùbá and Twi;Alabi,2020

4. NoSta-D named entity annotation for German: Guidelines and dataset;Benikova,2014

5. Enriching word vectors with subword information;Bojanowski;Transactions of the Association for Computational Linguistics,2017

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