Giovanni Puccetti, Filippo Chiarello, and Gualtiero Fantoni. “A simple and fast method for Named Entity context extraction from patents”. In:Expert Systems with Applications 184 (2021), p. 115570.ISSN: 0957-4174. DOI:https://doi.org/10.1016/j.eswa.2021.115570. URL:https://www.sciencedirect.com/science/article/pii/S0957417421009751.
Giovanni Puccetti, Alessio Miaschi, and Felice Dell’Orletta. “How Do BERT Embeddings Organize Linguistic Knowledge?” In:Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures. Online: Association for Computational Linguistics, June 2021,pp. 48–57. DOI:10.18653/v1/2021.deelio-1.6. URL:https://aclanthology.org/2021.deelio-1.6.
Giovanni Puccetti et al. B4DS @ PRELEARN: Ensemble Method for Prerequisite Learning (short paper). In: Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), Online event, December 17th, 2020. Ed. by Valerio Basile et al. Vol. 2765. CEUR Workshop Proceedings. CEUR-WS.org, 2020. URL: http://ceur-ws.org/Vol-2765/paper107.pdf.
Giovanni Puccetti, Anna Rogers, Aleksandr Drozd and Felice Dell'Orletta. "Outlier Dimensions that Disrupt Transformers are Driven by Frequency" To appear in: Findings of EMNLP 2022. Abhu Dabi, December 7-11, 2022. URL: https://arxiv.org/abs/2205.11380.
Giovanni Puccetti, Vito Giordano, Irene Spada, Filippo Chiarello, Gualtiero Fantoni, "Technology identification from patent texts: A novel named entity recognition method". In:Technological Forecasting and Social Change, Volume 186, Part B, 2023, 122160, ISSN 0040-1625, https://doi.org/10.1016/j.techfore.2022.122160. (https://www.sciencedirect.com/science/article/pii/S0040162522006813)