11 citations · 25 across the 9 of their papers we have counts for
9 papers
The Effects of Demographic Instructions on LLM Personas
Angel Felipe Magnossão de Paula, J. Shane Culpepper, Alistair Moffat +3
Social media platforms must filter sexist content in compliance with governmental regulations. Current machine learning approaches can reliably detect sexism based on standardized…
Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot
Sachin Pathiyan Cherumanal, Lin Tian, Futoon M. Abushaqra +7
Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly evolving modern business world. A prominent facet of…
Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection
Angel Felipe Magnossão de Paula, Paolo Rosso, Damiano Spina
This paper proposes a novelty approach to mitigate the negative transfer problem. In the field of machine learning, the common strategy is to apply the Single-Task Learning approac…
Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages
Angel Felipe Magnossão de Paula, Imene Bensalem, Paolo Rosso +1
This paper describes our participation in the shared task of hate speech detection, which is one of the subtasks of the CERIST NLP Challenge 2022. Our experiments evaluate the perf…
UPV at TREC Health Misinformation Track 2021 Ranking with SBERT and Quality Estimators
Ipek Baris Schlicht, Angel Felipe Magnossão de Paula, Paolo Rosso
Health misinformation on search engines is a significant problem that could negatively affect individuals or public health. To mitigate the problem, TREC organizes a health misinfo…
Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models
Angel Felipe Magnossão de Paula, Roberto Fray da Silva, Ipek Baris Schlicht
The popularity of social media has created problems such as hate speech and sexism. The identification and classification of sexism in social media are very relevant tasks, as they…