Papers with Universal Language Model Fine-tuning
Universal Language Model Fine-tuning for Text Classification (P18-1)
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| Challenge: | Existing approaches to computer vision require task-specific modifications and training from scratch. |
| Approach: | They propose a method that can be applied to any task in NLP and propose to open-source it. |
| Outcome: | The proposed method outperforms the state-of-the-art on six text classification tasks, reducing error by 18-24% on majority of datasets. |