Member
Paula Reyero Lobo
Marie 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.
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 Apr 2022
Publications
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