4 papers
Detecting Hope Across Languages: Multiclass Classification for Positive Online Discourse
T. O. Abiola, K. D. Abiodun, O. E. Olumide +3
The detection of hopeful speech in social media has emerged as a critical task for promoting positive discourse and well-being. In this paper, we present a machine learning approac…
Multilingual Hope Speech Detection: A Comparative Study of Logistic Regression, mBERT, and XLM-RoBERTa with Active Learning
T. O. Abiola, K. D. Abiodun, O. E. Olumide +3
Hope speech language that fosters encouragement and optimism plays a vital role in promoting positive discourse online. However, its detection remains challenging, especially in mu…
Evaluating Embeddings for One-Shot Classification of Doctor-AI Consultations
Olumide Ebenezer Ojo, Olaronke Oluwayemisi Adebanji, Alexander Gelbukh +2
Effective communication between healthcare providers and patients is crucial to providing high-quality patient care. In this work, we investigate how Doctor-written and AI-generate…
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms
Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte +6
This study investigates the computational processing of euphemisms, a universal linguistic phenomenon, across multiple languages. We train a multilingual transformer model (XLM-RoB…