Member
Paula Reyero Lobo
Marie Curie Early Stage Researcher
PhD. Researcher under the Marie Sklodowska-Curie Innovative Training Networks (ITN) programme. She is part of the Social Data Science group and researcher at the "NoBIAS- Artificial Intelligence without Bias" project.
Her PhD research focuses on developing novel techniques leveraging Semantic Web technologies to understand better and mitigate bias in hate speech detection.
Team: Harith Alani, Vaclav Bayer, Gregoire Burel, Enrico Daga, Tracie Farrell, Miriam Fernandez, Joseph Kwarteng, Martino Mensio, Angel Pavon Perez, Lara Piccolo, Ali Tavakoli
News
26 Sep 2023
11 Jul 2022
26 Apr 2022
Publications
Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2023) Knowledge-Grounded Target Group Language Recognition in Hate Speech, 19th International Conference on Semantic Systems, Leipzig, Germany
Reyero Lobo, P. (2023) Hybrid-based Target Group Language Recognition in Hate Speech
Reyero Lobo, P., Daga, E. and Alani, H. (2022) Supporting Online Toxicity Detection with Knowledge Graphs, Sixteenth International AAAI Conference on Web and Social Media, Atlanta, Georgia
Reyero Lobo, P., Mensio, M., Pavon Perez, A., Bayer, V., Kwarteng, J., Fernandez, M., Daga, E. and Alani, H. (2022) Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish, Workshop on Novel Evaluation Approaches for Text Classification Systems on Social Media (NEATCLasS), Atlanta, Georgia
Reyero Lobo, P. and Perez, P. (2022) Heart Rate Variability for Non-Intrusive Cybersickness Detection, ACM International Conference on Interactive Media Experiences