Lucas Resck

PhD student in NLP at Cambridge

prof_pic.jpg

I am a first-year PhD student in Computation, Cognition and Language at the Language Technology Lab at the University of Cambridge, supervised by Prof. Anna Korhonen and Prof. Isabelle Augenstein under the ELLIS PhD Program. I am a Girton College member and a Cambridge Trust scholar. My research interests are machine learning, natural language processing and explainable AI.

Previously, I was a researcher at the Visual Data Science Lab at Fundação Getulio Vargas (FGV) in Rio de Janeiro, Brazil, conducting research on similar topics. I hold an MSc in Mathematical Modeling (2024) and a BSc in Applied Mathematics (2021) from the School of Applied Mathematics at FGV.

In 2022, I was a visiting researcher at the Vision, Language, and Learning Lab at Rice University, Houston. I also have experience applying computational methods to solve legal problems.

news

Oct 01, 2024 I’ve started my PhD in Cambridge! Excited for this new chapter in my academic journey.
Sep 21, 2024 I am attending the 11th Heidelberg Laureate Forum (HLF), in Heidelberg, Germany 🇩🇪.
Aug 29, 2024 I am attending the ELLIS Doctoral Symposium 2024, in Paris 🇫🇷. I am presenting my NAACL Findings 2024 paper as a poster.

selected publications

  1. Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
    Lucas Resck, Marcos M. Raimundo, and Jorge Poco
    In Findings of the Association for Computational Linguistics: NAACL 2024 . Also presented as a poster at the LatinX in NLP at NAACL 2024 workshop , Jun 2024
  2. Distill n’ Explain: explaining graph neural networks using simple surrogates
    Tamara Pereira, Erik Nascimento, Lucas E. ResckDiego Mesquita, and Amauri Souza
    In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics , Apr 2023
  3. LegalVis: Exploring and Inferring Precedent Citations in Legal Documents
    Lucas E. Resck*, Jean R. Ponciano*, Luis Gustavo Nonato, and Jorge Poco
    IEEE Transactions on Visualization and Computer Graphics. Presented at Visualization & Visual Analytics (VIS) 2022 , Jun 2023