Extensive evaluation of transformer-based architectures for ...
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Sep 5, 2023 · In this paper we perform an extensive evaluation and analysis of 19 Transformer-based models for ADE extraction on informal texts.
Jun 8, 2023 · Therefore, in this paper we perform an extensive evaluation and analysis of 19 Transformer-based models for ADE extraction on informal texts. We ...
Jun 9, 2023 · Therefore, in this paper we perform an extensive evaluation and analysis of 19 Transformer-based models for ADE extraction on informal texts. We ...
Adverse Drug Event (ADE) extraction mod-els can rapidly examine large collections of so-cial media texts, detecting mentions of drug-related adverse reactions ...
Sep 5, 2023 · Adverse Drug Event (ADE) extraction is one of the core tasks in digital pharmacovigilance, especially when applied to informal texts.
Extensive evaluation of transformer-based architectures for adverse drug events extraction · List of references · Publications that cite this publication.
Jun 8, 2023 · Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction · 1 code implementation • 8 Jun 2023 • Simone ...
SpanBERT and PubMedBERT emerged as the best models in the evaluation, which clearly shows that span-based pretraining gives a decisive advantage in the ...
Adverse Drug Event (ADE) extraction models can rapidly examine large collections of social media texts, detecting mentions of drug-related adverse reactions and ...
Apr 24, 2023 · This study demonstrated the advantage of using large transformer models for contextual medication information extraction from clinical narratives.
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