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InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance
Background: T ransformer-based language models have delivered clear improvements in a wide range of natural language processing (NLP) tasks. However, those models have a significant limitation; specifically, they cannot infer causality, a prerequisite for deployment in pharmacovigilance, and health...
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| Publicado no: | Front Artif Intell |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8202286/ https://ncbi.nlm.nih.gov/pubmed/34136800 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frai.2021.659622 |
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