Beatrice Portelli
Beatrice Portelli
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The covid-19 infodemic: Can the crowd judge recent misinformation objectively?
K Roitero, M Soprano, B Portelli, D Spina, V Della Mea, G Serra, ...
Proceedings of the 29th ACM International Conference on Information …, 2020
Distilling the evidence to augment fact verification models
B Portelli, J Zhao, T Schuster, G Serra, E Santus
Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER …, 2020
BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection
B Portelli, E Lenzi, E Chersoni, G Serra, E Santus
Proceedings of the 16th Conference of the European Chapter of the …, 2021
Improving adverse drug event extraction with SpanBERT on different text typologies
B Portelli, D Passabė, E Lenzi, G Serra, E Santus, E Chersoni
International Workshop on Health Intelligence, 87-99, 2021
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19
K Roitero, M Soprano, B Portelli, M De Luise, D Spina, VD Mea, G Serra, ...
Personal and Ubiquitous Computing, 1-31, 2021
NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations
S Scaboro, B Portelli, E Chersoni, E Santus, G Serra
arXiv preprint arXiv:2109.10080, 2021
Keyphrase Generation with GANs in Low-Resources Scenarios
G Lancioni, SS Mohamed, B Portelli, G Serra, C Tasso
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language …, 2020
DiLBERT: Cheap Embeddings for Disease Related Medical NLP
K Roitero, B Portelli, MH Popescu, V Della Mea
IEEE Access 9, 159714-159723, 2021
Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets
B Portelli, S Scaboro, R Tonino, E Chersoni, E Santus, G Serra
Journal of Medical Internet Research 24 (5), e35115, 2022
Negation detection for robust Adverse Drug Event extraction from social media texts
S Scaboro, B Portelli, E Chersoni, E Santus, G Serra
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