The Future of Natural Language Processing
HuggingFace HuggingFace
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 Published On Apr 22, 2020

Transfer Learning in Natural Language Processing (NLP): Open questions, current trends, limits, and future directions. Slides: https://tinyurl.com/FutureOfNLP
A walk through interesting papers and research directions in late 2019/early-2020 on:
- model size and computational efficiency,
- out-of-domain generalization and model evaluation,
- fine-tuning and sample efficiency,
- common sense and inductive biases.
by Thomas Wolf (Science lead at HuggingFace)

HuggingFace on Twitter:   / huggingface  
Thomas Wolf on Twitter:   / thom_wolf  

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