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20212025
most citedMasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

3 citations · 3 across the 3 of their papers we have counts for

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cs.CL2025

BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin +45

People worldwide use language in subtle and complex ways to express emotions. Although emotion recognition--an umbrella term for several NLP tasks--impacts various applications wit…

cs.CL2025

AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages

Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele +24

Hate speech and abusive language are global phenomena that need socio-cultural background knowledge to be understood, identified, and moderated. However, in many regions of the Glo…

cs.CL2024

The IgboAPI Dataset: Empowering Igbo Language Technologies through Multi-dialectal Enrichment

Chris Chinenye Emezue, Ifeoma Okoh, Chinedu Mbonu +12

The Igbo language is facing a risk of becoming endangered, as indicated by a 2025 UNESCO study. This highlights the need to develop language technologies for Igbo to foster communi…

cs.CL2023

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

Odunayo Ogundepo, Tajuddeen R. Gwadabe, Clara E. Rivera +49

African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingu…

cs.CL2023

MasakhaNEWS: News Topic Classification for African languages

David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime +62

African languages are severely under-represented in NLP research due to lack of datasets covering several NLP tasks. While there are individual language specific datasets that are…

cs.CL20233 cited

The African Stopwords project: curating stopwords for African languages

Chris Emezue, Hellina Nigatu, Cynthia Thinwa +19

Stopwords are fundamental in Natural Language Processing (NLP) techniques for information retrieval. One of the common tasks in preprocessing of text data is the removal of stopwor…