most citedMasakhaNEWS: News Topic Classification for African languages

4 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

Text Categorization Can Enhance Domain-Agnostic Stopword Extraction

Houcemeddine Turki, Naome A. Etori, Mohamed Ali Hadj Taieb +6

This paper investigates the role of text categorization in streamlining stopword extraction in natural language processing (NLP), specifically focusing on nine African languages al…

cs.CV2024★ 3 cited

The State of Computer Vision Research in Africa

Abdul-Hakeem Omotayo, Ashery Mbilinyi, Lukman Ismaila +16

Despite significant efforts to democratize artificial intelligence (AI), computer vision which is a sub-field of AI, still lags in Africa. A significant factor to this, is the limi…

cs.CL2023

AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages

Jiayi Wang, David Ifeoluwa Adelani, Sweta Agrawal +55

Despite the recent progress on scaling multilingual machine translation (MT) to several under-resourced African languages, accurately measuring this progress remains challenging, s…

cs.CV2023★ 1 cited

Towards a Better Understanding of the Computer Vision Research Community in Africa

Abdul-Hakeem Omotayo, Mai Gamal, Eman Ehab +11

Computer vision is a broad field of study that encompasses different tasks (e.g., object detection). Although computer vision is relevant to the African communities in various appl…

cs.CL2023★ 4 cited

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.CL2023★ 2 cited

Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages

Colin Leong, Herumb Shandilya, Bonaventure F. P. Dossou +10

Many natural language processing (NLP) tasks make use of massively pre-trained language models, which are computationally expensive. However, access to high computational resources…