Publications

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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Kevin Roitero, Beatrice Portelli, Mihai Horia Popescu, Vincenzo Della Mea (2021). DiLBERT: Cheap Embeddings for Disease Related Medical NLP. IEEE Access.
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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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Giuseppe Lancioni, Saida SM Mahmoud, Beatrice Portelli, Giuseppe Serra, Carlo Tasso (2021). Efficient keyphrase generation with gans. IRCDL 2021.
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Giuseppe Lancioni, Saida SM Mahmoud, Beatrice Portelli, Giuseppe Serra, Carlo Tasso (2020). Keyphrase generation with GANs in low-resources scenarios. SustaiNLP.
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Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini (2020). The covid-19 infodemic: Can the crowd judge recent misinformation objectively?. Proceedings of the 29th ACM International Conference on Information & Knowledge Management.
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Beatrice Portelli, Jason Zhao, Tal Schuster, Giuseppe Serra, Enrico Santus (2020). Distilling the evidence to augment fact verification models. FEVER 2020.
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