Improving the robustness and accuracy of biomedical language models through adversarial training
Deep transformer neural network models have improved the predictive accuracy of intelligent text processing systems in the biomedical domain. They have obtained state-of-the-art performance scores on a wide variety of biomedical and clinical Natural Language Processing (NLP) benchmarks. However, the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Press Inc.
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |