The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? - Kevin Roitero; Michael Soprano; Beatrice Portelli; Damiano Spina; Vincenzo Della Mea; Giuseppe Serra 001; Stefano Mizzaro; Gianluca Demartini (CIKM, 2020)

Keyphrase Generation with GANs in Low-Resources Scenarios. - Giuseppe Lancioni; Saida S. Mohamed; Beatrice Portelli; Giuseppe Serra 001; Carlo Tasso (SustaiNLP@EMNLP, 2020)

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)

BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection. - Beatrice Portelli; Edoardo Lenzi; Emmanuele Chersoni; Giuseppe Serra 001; Enrico Santus (EACL, 2021)

Efficient Keyphrase Generation with GANs. - Giuseppe Lancioni; Saida S. Mohamed; Beatrice Portelli; Giuseppe Serra 001; Carlo Tasso (IRCDL, 2021)

DiLBERT: Cheap Embeddings for Disease Related Medical NLP. - Kevin Roitero; Beatrice Portelli; Mihai Horia Popescu; Vincenzo Della Mea (IEEE Access, 2021)

Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies. - Beatrice Portelli; Daniele Passabì; Edoardo Lenzi; Giuseppe Serra 001; Enrico Santus; Emmanuele Chersoni (CoRR, 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)

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)

Filling the Lacunae in ancient Latin inscriptions. - Alessandro Locaputo; Beatrice Portelli; Emanuela Colombi; Giuseppe Serra 001 (IRCDL, 2023)

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)

Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. - Kevin Roitero; Beatrice Portelli; Giuseppe Serra 001; Vincenzo Della Mea; Stefano Mizzaro; Gianni Cerro; Michele Vitelli; Mario Molinara (IEEE Access, 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)

Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19. - Kevin Roitero; Michael Soprano; Beatrice Portelli; Massimiliano De Luise; Damiano Spina; Vincenzo Della Mea; Giuseppe Serra 001; Stefano Mizzaro; Gianluca Demartini (Pers. Ubiquitous Comput., 2023)

Paving the Way for Personalized Museums Tours in the Metaverse. - Alex Falcon; Beatrice Portelli; Ali Abdari; Giuseppe Serra 001 (IRCDL, 2024)

Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks. - Daniele Lizzio Bosco; Beatrice Portelli; Giuseppe Serra 001 (CoRR, 2024)

Assessing ensemble models for carbon sequestration and storage estimation in forests using remote sensing data. - Mehdi Fasihi; Beatrice Portelli; Luca Cadez; Antonio Tomao; Alex Falcon; Giorgio Alberti; Giuseppe Serra 001 (Ecol. Informatics, 2024)