5 papers
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing
Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad, Idris Abdulmumin +9
Hausa Natural Language Processing (NLP) has gained increasing attention in recent years, yet remains understudied as a low-resource language despite having over 120 million first-l…
HausaNLP at SemEval-2025 Task 11: Hausa Text Emotion Detection
Sani Abdullahi Sani, Salim Abubakar, Falalu Ibrahim Lawan +2
This paper presents our approach to multi-label emotion detection in Hausa, a low-resource African language, for SemEval Track A. We fine-tuned AfriBERTa, a transformer-based model…
HausaNLP at SemEval-2025 Task 2: Entity-Aware Fine-tuning vs. Prompt Engineering in Entity-Aware Machine Translation
Abdulhamid Abubakar, Hamidatu Abdulkadir, Ibrahim Rabiu Abdullahi +9
This paper presents our findings for SemEval 2025 Task 2, a shared task on entity-aware machine translation (EA-MT). The goal of this task is to develop translation models that can…
HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection
Maryam Bala, Amina Imam Abubakar, Abdulhamid Abubakar +6
This paper presents our findings of the Multilingual Shared Task on Hallucinations and Related Observable Overgeneration Mistakes, MU-SHROOM, which focuses on identifying hallucina…
Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa
Sani Abdullahi Sani, Shamsuddeen Hassan Muhammad, Devon Jarvis
Sentiment analysis (SA) plays a vital role in Natural Language Processing (NLP) by ~identifying sentiments expressed in text. Although significant advances have been made in SA for…