Feature Engineering & Preprocessing for NLP

Before we consider diverse models to predict, pretty clean and well-organized ingredients, we are going to call feataures, should be well-prepared. Here, preprocessing and Feature engineering will be covered but these process are limited in NLP field. (Ofc, these concepts could be applied to fields.)

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data2vec

[Review | 논문리뷰] data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language

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