Social Media Understanding

Zhai Yu, Xiaoyi Bao, Emmanuele Chersoni, Beatrice Portelli, Sophia Lee, Jinghang Gu, Chu-Ren Huang (2024). PolyuCBS at SMM4H 2024: LLM-based Medical Disorder and Adverse Drug Event Detection with Low-rank Adaptation. SMM4H 2024.
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Giuseppe Serra, Beatrice Portelli, Simone Scaboro, Emmanuele Chersoni (2024). A perspective on Artificial Intelligence for digital pharmacovigilance in pandemics. Innovating Health Against Future Pandemics.
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Beatrice Portelli, Alessandro Tremamunno, Simone Scaboro, Emmanuele Chersoni, Giuseppe Serra (2023). AILABUD at the NTCIR-17 MedNLP-SC Task: Monolingual vs Multilingual Fine-tuning for ADE Classification. 17th Conference on Evaluation of Information Access Technologies.
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Beatrice Portelli, Simone Scaboro, Giuseppe Serra (2023). Improving Multi-lingual Medical Term Normalization to Address the Long-Tail Problem. PACLIC 2023.
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François Remy, Simone Scaboro, Beatrice Portelli (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. SocialNLP.
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Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra (2023). Extensive evaluation of transformer-based architectures for adverse drug events extraction. Knowledge-Based Systems.
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Kevin Roitero, Michael Soprano, Beatrice Portelli, Massimiliano De Luise, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini (2023). Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19. Personal and Ubiquitous Computing.
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Simone Scaboro, Beatrice Portelli, Giuseppe Serra (2022). Detection of Adverse Drug Events from Social Media Texts-Research Project Overview. HC@AIxIA.
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Beatrice Portelli, Simone Scaboro, Enrico Santus, Hooman Sedghamiz, Emmanuele Chersoni, Giuseppe Serra (2022). Generalizing over Long Tail Concepts for Medical Term Normalization. EMNLP.
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Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra (2022). Increasing adverse drug events extraction robustness on social media: Case study on negation and speculation. Experimental Biology and Medicine.
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Beatrice Portelli, Simone Scaboro, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra (2022). AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles. SMM4H 2022.
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Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra (2022). Negation detection for robust Adverse Drug Event extraction from social media texts. IRCDL 2022.
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Beatrice Portelli, Simone Scaboro, Roberto Tonino, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra (2022). Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets. Journal of Medical Internet Research.
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Beatrice Portelli, Daniele Passabı̀, Edoardo Lenzi, Giuseppe Serra, Enrico Santus, Emmanuele Chersoni (2022). Improving adverse drug event extraction with SpanBERT on different text typologies. W3PHIAI 2021.
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Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra (2021). NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations. W-NUT 2021.
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Beatrice Portelli, Edoardo Lenzi, Emmanuele Chersoni, Giuseppe Serra, Enrico Santus (2021). BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection. EACL 2021.
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