Universal Language Model Fine-tuning

Year: 2,018
Journal: Annual Meeting of the Association for Computational Linguistics
Languages: All Languages
Programming languages: Python
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We propose Universal Language Model Fine-tuning (ULMFiT), an effective transfer learning method that can be applied to any task in NLP, and introduce techniques that are key for fine-tuning a language model.

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