activity
20192024
most citedAfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

48 citations · 102 across the 18 of their papers we have counts for

collaborators

21 papers

cs.CL2024

Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?

Idris Abdulmumin, Bashir Shehu Galadanci, Garba Aliyu +1

Monolingual data, being readily available in large quantities, has been used to upscale the scarcely available parallel data to train better models for automatic translation. Self-…

cs.CL2023

HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language

Shantipriya Parida, Idris Abdulmumin, Shamsuddeen Hassan Muhammad +7

This paper presents HaVQA, the first multimodal dataset for visual question-answering (VQA) tasks in the Hausa language. The dataset was created by manually translating 6,022 Engli…

cs.CL2023★ 4 cited

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)

Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam +7

We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at https://github.com/afrisenti-semeva…

cs.CL2023

HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism Classification

Saminu Mohammad Aliyu, Idris Abdulmumin, Shamsuddeen Hassan Muhammad +4

We present the findings of our participation in the SemEval-2023 Task 10: Explainable Detection of Online Sexism (EDOS) task, a shared task on offensive language (sexism) detection…

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★ 3 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…