Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability (2021.findings-emnlp)
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| Challenge: | Using pre-trained language models, we can apply them to specialized domains such as scientific articles or clinical data. |
| Approach: | They propose to pre-train BERT models on large text corpora and use them to generalize to token sequence classification applications. |
| Outcome: | The models pre-trained on text classification tasks perform better than the models using task-specific knowledge and share non-trivial similarities. |
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