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publications
Representing Syntax and Composition with Geometric Transformations
Published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021
Recommended citation: Lorenzo Bertolini, Julie Weeds, David Weir, and Qiwei Peng. 2021. Representing Syntax and Composition with Geometric Transformations. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3343–3353, Online. Association for Computational Linguistics.
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Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment
Published in Proceedings of the 29th International Conference on Computational Linguistics, 2022
Recommended citation: Lorenzo Bertolini, Julie Weeds, and David Weir. 2022. Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment. In Proceedings of the 29th International Conference on Computational Linguistics, pages 4084–4100, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
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Automatic Annotation of Dream Report’s Emotional Content with Large Language Models
Published in Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024), 2024
Recommended citation: Lorenzo Bertolini, Valentina Elce, Adriana Michalak, Hanna-Sophia Widhoelzl, Giulio Bernardi, and Julie Weeds. 2024. Automatic Annotation of Dream Report’s Emotional Content with Large Language Models. In Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024), pages 92–107, St. Julians, Malta. Association for Computational Linguistics.
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Conformal Risk Control for Pulmonary Nodule Detection
Published in Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, 2025
Recommended citation: Roel Hulsman, Valentin Comte, Lorenzo Bertolini, Tobias Wiesenthal, Antonio Puertas Gallardo, Mario Ceresa Proceedings of the Fourteenth Symposium on Conformal and Probabilistic Prediction with Applications, PMLR 266:445-463, 2025.
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An epidemiological knowledge graph extracted from the World Health Organization’s Disease Outbreak News
Published in Scientific Data, 2025
Recommended citation: Consoli, S., Coletti, P., Markov, P.V. et al. An epidemiological knowledge graph extracted from the World Health Organization’s Disease Outbreak News. Sci Data 12, 970 (2025). https://doi.org/10.1038/s41597-025-05276-2
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Generative AI Outlook Report
Published in , 2025
Recommended citation: ABENDROTH DIAS, K., ARIAS CABARCOS, P., BACCO, F.M., BASSANI, E., BERTOLETTI, A. et al., Generative AI Outlook Report - Exploring the Intersection of Technology, Society and Policy, NAVAJAS CAWOOD, E., VESPE, M., KOTSEV, A. and VAN BAVEL, R. (editors), Publications Office of the European Union, Luxembourg, 2025, https://data.europa.eu/doi/10.2760/1109679, JRC142598.
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Strengths and Limitations of Word-Based Task Explainability in Vision Language Models: a Case Study on Biological Sex Biases in the Medical Domain
Published in Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP), 2025
Recommended citation: Lorenzo Bertolini, Valentin Comte, Victoria Ruiz-Serra, Lia Orfei, and Mario Ceresa. 2025. Strengths and Limitations of Word-Based Task Explainability in Vision Language Models: a Case Study on Biological Sex Biases in the Medical Domain. In Proceedings of the 6th Workshop on Gender Bias in Natural Language Processing (GeBNLP), pages 111–123, Vienna, Austria. Association for Computational Linguistics.
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Dreams are more “predictable” than you think
Published in Frontiers in Sleep, 2025
Recommended citation: Bertolini L, Consoli S and Weeds J (2025) Dreams are more “predictable” than you think. Front. Sleep 4:1625185. doi: 10.3389/frsle.2025.1625185
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Explainable AI in Cardiovascular Health
Published in , 2025
Recommended citation: BERTOLINI, L., COMTE, V., RUIZ SERRA, V., GIERSCHMANN, L., ORFEI, L. et al., Explainable AI in Cardiovascular Health - Methods, Applications, and Innovations, Publications Office of the European Union, Luxembourg, 2025, https://data.europa.eu/doi/10.2760/4891725, JRC143595.
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On General and Biomedical Text-to-Graph Large Language Models
Published in Semantic Web: – Interoperability, Usability, Applicability, 2025
Recommended citation: Bertolini L, Hulsman R, Consoli S, Puertas Gallardo A, Ceresa M. On General and Biomedical Text-to-Graph Large Language Models. Semantic Web: – Interoperability, Usability, Applicability. 2025;17(1). doi:10.1177/22104968251377332
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talks
Transformers & Hugging Faces: Theory and Applications of NLP’s Most Notorious Architecture
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teaching
Advanced Natural Language Processing
Postgraduate course, University of Sussex, Department of Informatics, 1900
Applied Natural Language Processing
Undergraduate course, University of Sussex, Department of Informatics, 1900
Natural Language Engineering
Postgraduate course, University of Sussex, Department of Informatics, 1900
Natural Language Processing
Undergraduate course, University of Sussex, Department of Informatics, 1900