NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations. - Simone Scaboro; Beatrice Portelli; Emmanuele Chersoni; Enrico Santus; Giuseppe Serra 001 (W-NUT, 2021)

Detection of Adverse Drug Events from Social Media Texts - Research Project Overview. - Simone Scaboro; Beatrice Portelli; Giuseppe Serra 001 (HC@AIxIA, 2022)

AILAB-Udine@SMM4H'22: Limits of Transformers and BERT Ensembles. - Beatrice Portelli; Simone Scaboro; Emmanuele Chersoni; Enrico Santus; Giuseppe Serra 001 (SMM4H@COLING, 2022)

Generalizing over Long Tail Concepts for Medical Term Normalization. - Beatrice Portelli; Simone Scaboro; Enrico Santus; Hooman Sedghamiz; Emmanuele Chersoni; Giuseppe Serra 001 (EMNLP, 2022)

Negation Detection for Robust Adverse Drug Event Extraction From Social Media Texts. - Simone Scaboro; Beatrice Portelli; Emmanuele Chersoni; Enrico Santus; Giuseppe Serra 001 (IRCDL, 2022)

Neural-Symbolic Temporal Decision Trees for Multivariate Time Series Classification. - Giovanni Pagliarini; Simone Scaboro; Giuseppe Serra 001; Guido Sciavicco; Ionel Eduard Stan (TIME, 2022)

Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation. - Simone Scaboro; Beatrice Portelli; Emmanuele Chersoni; Enrico Santus; Giuseppe Serra 001 (CoRR, 2022)

AILABUD at the NTCIR-17 MedNLP-SC Task: Monolingual vs Multilingual Fine-tuning for ADE Classification. - Beatrice Portelli; Alessandro Tremamunno; Simone Scaboro; Emmanuele Chersoni; Giuseppe Serra 001 (NTCIR, 2023)

Improving Multi-lingual Medical Term Normalization to Address the Long-Tail Problem. - Beatrice Portelli; Simone Scaboro; Giuseppe Serra 001 (PACLIC, 2023)

Boosting Adverse Drug Event Normalization on Social Media: General-Purpose Model Initialization and Biomedical Semantic Text Similarity Benefit Zero-Shot Linking in Informal Contexts. - François Remy; Simone Scaboro; Beatrice Portelli (CoRR, 2023)

Extensive evaluation of transformer-based architectures for adverse drug events extraction. - Simone Scaboro; Beatrice Portelli; Emmanuele Chersoni; Enrico Santus; Giuseppe Serra 001 (Knowl. Based Syst., 2023)