6 papers
Beyond Semantics: Modeling Factual and Affective Perceptual Experiences from Vision-Language Data
Youssef Mohamed, Kenneth Ward Church, Mohamed Elhoseiny
We present P-Topics (Perception Topics) modeling, a novel problem for understanding how images are perceived affectively and across cultures. The goal is to (1) discover and model…
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…
Exploring Cultural Nuances in Emotion Perception Across 15 African Languages
Ibrahim Said Ahmad, Shiran Dudy, Tadesse Destaw Belay +4
Understanding how emotions are expressed across languages is vital for building culturally-aware and inclusive NLP systems. However, emotion expression in African languages is unde…
Is Peer-Reviewing Worth the Effort?
Kenneth Church, Raman Chandrasekar, John E. Ortega +1
How effective is peer-reviewing in identifying important papers? We treat this question as a forecasting task. Can we predict which papers will be highly cited in the future based…
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages
Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad +4
Research in vision and language has made considerable progress thanks to benchmarks such as COCO. COCO captions focused on unambiguous facts in English; ArtEmis introduced subjecti…
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT
Ibrahim Said Ahmad, Shiran Dudy, Resmi Ramachandranpillai +1
Large Language Models (LLMs), such as ChatGPT, are widely used to generate content for various purposes and audiences. However, these models may not reflect the cultural and emotio…