A rule-free workflow for the automated generation of databases from scientific literature
Abstract In recent times, transformer networks have achieved state-of-the-art performance in a wide range of natural language processing tasks. Here we present a workflow based on the fine-tuning of BERT models for different downstream tasks, which results in the automated extraction of structured i...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Nature Portfolio
2023-12-01
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| سلاسل: | npj Computational Materials |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41524-023-01171-9 |
| الوسوم: |
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