Simone Scaboro

According to our database, Simone Scaboro authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Neural-symbolic temporal decision trees for multivariate time series classification.

Giovanni Pagliarini, Simone Scaboro, Giuseppe Serra, Guido Sciavicco, Ionel Eduard Stan

Inf. Comput., 2024

2023

Extensive evaluation of transformer-based architectures for adverse drug events extraction.

Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra

Knowl. Based Syst., 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

Improving Multi-lingual Medical Term Normalization to Address the Long-Tail Problem.

Beatrice Portelli, Simone Scaboro, Giuseppe Serra

Proceedings of the 37th Pacific Asia Conference on Language, 2023

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

CoRR, 2022

Negation Detection for Robust Adverse Drug Event Extraction From Social Media Texts.

Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra

Proceedings of the 18th Italian Research Conference on Digital Libraries, 2022

Generalizing over Long Tail Concepts for Medical Term Normalization.

Beatrice Portelli, Simone Scaboro, Enrico Santus, Hooman Sedghamiz, Emmanuele Chersoni, Giuseppe Serra

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

AILAB-Udine@SMM4H'22: Limits of Transformers and BERT Ensembles.

Beatrice Portelli, Simone Scaboro, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Detection of Adverse Drug Events from Social Media Texts - Research Project Overview.

Simone Scaboro, Beatrice Portelli, Giuseppe Serra

Proceedings of the 1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022) co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), 2022

2021

NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations.

Simone Scaboro, Beatrice Portelli, Emmanuele Chersoni, Enrico Santus, Giuseppe Serra

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021