3 citations · 5 across the 7 of their papers we have counts for
7 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…
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…
Legend at ArAIEval Shared Task: Persuasion Technique Detection using a Language-Agnostic Text Representation Model
Olumide E. Ojo, Olaronke O. Adebanji, Hiram Calvo +5
In this paper, we share our best performing submission to the Arabic AI Tasks Evaluation Challenge (ArAIEval) at ArabicNLP 2023. Our focus was on Task 1, which involves identifying…
MedAI Dialog Corpus (MEDIC): Zero-Shot Classification of Doctor and AI Responses in Health Consultations
Olumide E. Ojo, Olaronke O. Adebanji, Alexander Gelbukh +2
Zero-shot classification enables text to be classified into classes not seen during training. In this study, we examine the efficacy of zero-shot learning models in classifying hea…
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms
Patrick Lee, Iyanuoluwa Shode, Alain Chirino Trujillo +5
Transformers have been shown to work well for the task of English euphemism disambiguation, in which a potentially euphemistic term (PET) is classified as euphemistic or non-euphem…
Transformer-based approaches to Sentiment Detection
Olumide Ebenezer Ojo, Hoang Thang Ta, Alexander Gelbukh +3
The use of transfer learning methods is largely responsible for the present breakthrough in Natural Learning Processing (NLP) tasks across multiple domains. In order to solve the p…