Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining (2020.emnlp-main)
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| Challenge: | Pre-trained neural language models improve learning for various NLP tasks by fine-tuning them on task-specific training sets. |
| Approach: | They propose a meta-learning procedure to fine-tune neural language models on task-specific training sets. |
| Outcome: | The proposed procedure solves a group of similar NLP tasks on a text mining dataset. |
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