POZZI RICCARDO

Pozzi, R (2026). Entity-Oriented Strategies for Information Extraction and Access in Knowledge-Intensive Domains. (Tesi di dottorato, , 2026). Detail

Agazzi, R., Alva Principe, R., Pozzi, R., Ripamonti, M., Palmonari, M. (2025). DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domains. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence Montreal, Canada 16-22 August 2025 (pp.10984-10988). International Joint Conferences on Artificial Intelligence [10.24963/ijcai.2025/1246]. Detail

Pozzi, R., Palmonari, M., Coletta, A., Bellomarini, L., Lehmann, J., Vahdati, S. (2025). ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation. In The Semantic Web – ISWC 2025
24th International Semantic Web Conference, Nara, Japan, November 2–6, 2025, Proceedings, Part I (pp.290-308). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-09527-5_16]. Detail

Pozzi, R., Barbera, V., Alva Principe, R., Giardini, D., Rubini, R., Palmonari, M. (2025). Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations. In Web Information Systems Engineering – WISE 2024 25th International Conference, Doha, Qatar, December 2–5, 2024, Proceedings, Part II (pp.427-442). Springer Science and Business Media Deutschland GmbH [10.1007/978-981-96-0567-5_30]. Detail

Bellandi, V., Bernasconi, C., Lodi, F., Palmonari, M., Pozzi, R., Ripamonti, M., et al. (2024). An entity-centric approach to manage court judgments based on Natural Language Processing. COMPUTER LAW & SECURITY REVIEW, 52(April 2024) [10.1016/j.clsr.2023.105904]. Detail