Paula Reyero LoboMarie Curie Early Stage Researcher
PhD. Researcher under the Marie Sklodowska-Curie Innovative Training Networks (ITN) programme. She is a Social Data Science group member and researcher at the "NoBIAS- Artificial Intelligence without Bias" project.
Her research focuses on developing novel techniques leveraging Semantic Web technologies to understand better and mitigate bias in training datasets.
She is interested in natural language processing systems and their application to automatically flag or filter toxic speech on social media and other online platforms.
11 Jul 2022
26 Apr 2022
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
Reyero Lobo, P., Daga, E., Alani, H. and Fernandez, M. (2022) Semantic Web technologies and bias in artificial intelligence: A systematic literature review, Semantic Web, pp. (Early access), IOS Press
Reyero Lobo, P. (2021) Bias in Hate Speech and Toxicity Detection, 2022 AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom