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

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Leveraging Closed-Access Multilingual Embedding for Automatic Sentence Alignment in Low Resource Languages

Idris Abdulmumin, Auwal Abubakar Khalid, Shamsuddeen Hassan Muhammad +5

The importance of qualitative parallel data in machine translation has long been determined but it has always been very difficult to obtain such in sufficient quantity for the majo…

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.CL20234 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.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…