Evaluation of Incremental Entity Extraction with Background Knowledge and Entity Linking. - Riccardo Pozzi; Federico Moiraghi; Fausto Lodi; Matteo Palmonari (IJCKG, 2022)

MammoTab: A Giant and Comprehensive Dataset for Semantic Table Interpretation. - Mattia Marzocchi; Marco Cremaschi; Riccardo Pozzi; Roberto Avogadro; Matteo Palmonari (SemTab@ISWC, 2022)

Named Entity Recognition and Linking for Entity Extraction from Italian Civil Judgements. - Riccardo Pozzi; Riccardo Rubini; Christian Bernasconi; Matteo Palmonari (AI*IA, 2023)

Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations. - Riccardo Pozzi; Valentina Barbera; Renzo Arturo Alva Principe; Davide Giardini; Riccardo Rubini; Matteo Palmonari (WISE (2), 2024)

An entity-centric approach to manage court judgments based on Natural Language Processing. - Valerio Bellandi; Christian Bernasconi; Fausto Lodi; Matteo Palmonari; Riccardo Pozzi; Marco Ripamonti; Stefano Siccardi (Comput. Law Secur. Rev., 2024)

Evaluating Language Models on Entity Disambiguation in Tables. - Federico Belotti; Fabio D'Adda; Marco Cremaschi; Roberto Avogadro; Riccardo Pozzi; Matteo Palmonari (CoRR, 2024)