Francesco Cazzaro

Conference Papers

"Align and Augment: Generative Data Augmentation for Compositional Generalization".
Francesco Cazzaro, Davide Locatelli and Ariadna Quattoni.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). St. Julians, MLT.
[Paper]


"Analyzing Text Representations under Tight Annotation Budgets: Measuring Structural Alignment".
César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro and Ariadna Quattoni.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). Toronto, CA.
[Paper]


"Translate First Reorder Later: Leveraging Monotonicity in Semantic Parsing".
Francesco Cazzaro, Davide Locatelli, Ariadna Quattoni and Xavier Carreras.
Findings of the Association for Computational Linguistics: EACL 2023. Dubrovnik, HR.
[Paper] [Presentation] [Repo]

Workshop Papers

"Does Fine-tuning a Classifier Help in Low-budget Scenarios? Not Much".
César González-Gutiérrez, Audi Primadhanty, Francesco Cazzaro and Ariadna Quattoni.
Proceedings of the Fifth Workshop on Insights from Negative Results in NLP, Mexico City, Mexico.
[Paper]


"Are Deep Sequence Classifiers Good at Non-Trivial Generalization?".
Francesco Cazzaro, Ariadna Quattoni and Xavier Carreras.
Workshop on Robustness in Sequence Modeling, 36th Conference on Neural Information Processing Systems (NeurIPS 2022). New Orleans, USA.
[Paper]