Search Results - "Portelli, Beatrice"

Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets by Portelli, Beatrice, Scaboro, Simone, Tonino, Roberto, Chersoni, Emmanuele, Santus, Enrico, Serra, Giuseppe

“…In the current phase of the COVID-19 pandemic, we are witnessing the most massive vaccine rollout in human history. Like any other drug, vaccines may cause…”
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Assessing ensemble models for carbon sequestration and storage estimation in forests using remote sensing data by Fasihi, Mehdi, Portelli, Beatrice, Cadez, Luca, Tomao, Antonio, Falcon, Alex, Alberti, Giorgio, Serra, Giuseppe

“…Forests play a crucial role in storing much of the world's carbon (C). Accurately estimating C sequestration is essential for addressing and mitigating the…”
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DiLBERT: Cheap Embeddings for Disease Related Medical NLP by Roitero, Kevin, Portelli, Beatrice, Popescu, Mihai Horia, Della Mea, Vincenzo

“…Electronic Health Records include health-related information, among which there is text mentioning health conditions and diagnoses. Usually, text is also coded…”
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Detection of Wastewater Pollution through Natural Language Generation with a Low-Cost Sensing Platform by Roitero, Kevin, Portelli, Beatrice, Serra, Giuseppe, Mea, Vincenzo Della, Mizzaro, Stefano, Cerro, Gianni, Vitelli, Michele, Molinara, Mario

“…The detection of contaminants in several environments (e.g., air, water, sewage systems) is of paramount importance to protect people and predict possible…”
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Extensive evaluation of transformer-based architectures for adverse drug events extraction by Scaboro, Simone, Portelli, Beatrice, Chersoni, Emmanuele, Santus, Enrico, Serra, Giuseppe

“…Adverse Drug Event (ADE) extraction is one of the core tasks in digital pharmacovigilance, especially when applied to informal texts. This task has been…”
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Increasing adverse drug events extraction robustness on social media: Case study on negation and speculation by Scaboro, Simone, Portelli, Beatrice, Chersoni, Emmanuele, Santus, Enrico, Serra, Giuseppe

“…In the last decade, an increasing number of users have started reporting adverse drug events (ADEs) on social media platforms, blogs, and health forums. Given…”
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Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19 by Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, De Luise, Massimiliano, Spina, Damiano, Mea, Vincenzo Della, Serra, Giuseppe, Mizzaro, Stefano, Demartini, Gianluca

“…Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of relying on a…”
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Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks by Bosco, Daniele Lizzio, Portelli, Beatrice, Serra, Giuseppe

“…Image processing is one of the most promising applications for quantum machine learning (QML). Quanvolutional Neural Networks with non-trainable parameters are…”
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Boosting Adverse Drug Event Normalization on Social Media: General-Purpose Model Initialization and Biomedical Semantic Text Similarity Benefit Zero-Shot Linking in Informal Contexts by Remy, François, Scaboro, Simone, Portelli, Beatrice

“…Biomedical entity linking, also known as biomedical concept normalization, has recently witnessed the rise to prominence of zero-shot contrastive models…”
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AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles by Portelli, Beatrice, Scaboro, Simone, Chersoni, Emmanuele, Santus, Enrico, Serra, Giuseppe

“…This paper describes the models developed by the AILAB-Udine team for the SMM4H 22 Shared Task. We explored the limits of Transformer based models on text…”
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Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation by Scaboro, Simone, Portelli, Beatrice, Chersoni, Emmanuele, Santus, Enrico, Serra, Giuseppe

“…In the last decade, an increasing number of users have started reporting Adverse Drug Events (ADE) on social media platforms, blogs, and health forums. Given…”
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NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations by Scaboro, Simone, Portelli, Beatrice, Chersoni, Emmanuele, Santus, Enrico, Serra, Giuseppe

“…Adverse Drug Event (ADE) extraction models can rapidly examine large collections of social media texts, detecting mentions of drug-related adverse reactions…”
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Generalizing over Long Tail Concepts for Medical Term Normalization by Portelli, Beatrice, Scaboro, Simone, Santus, Enrico, Sedghamiz, Hooman, Chersoni, Emmanuele, Serra, Giuseppe

“…Medical term normalization consists in mapping a piece of text to a large number of output classes. Given the small size of the annotated datasets and the…”
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Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies by Portelli, Beatrice, Passabì, Daniele, Lenzi, Edoardo, Serra, Giuseppe, Santus, Enrico, Chersoni, Emmanuele

“…In recent years, Internet users are reporting Adverse Drug Events (ADE) on social media, blogs and health forums. Because of the large volume of reports,…”
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Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19 by Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, De Luise, Massimiliano, Spina, Damiano, Della Mea, Vincenzo, Serra, Giuseppe, Mizzaro, Stefano, Demartini, Gianluca

“…Recently, the misinformation problem has been addressed with a crowdsourcing-based approach: to assess the truthfulness of a statement, instead of relying on a…”
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The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? by Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, Spina, Damiano, Della Mea, Vincenzo, Serra, Giuseppe, Mizzaro, Stefano, Demartini, Gianluca

“…Misinformation is an ever increasing problem that is difficult to solve for the research community and has a negative impact on the society at large. Very…”
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