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This is the augmentation recipe from CLARE, which uses the following transformations:

  • WordSwapMaskedLM
  • WordInsertionMaskedLM
  • WordMergeMaskedLM

The default model and tokenizer are both distilroberta-base. Specific models/tokenizers can be specified by the user if they decide to call CLAREAugmenter in python.

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@jinyongyoo jinyongyoo left a comment

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LGTM!

@jinyongyoo jinyongyoo merged commit 86f3294 into master Dec 18, 2020
@qiyanjun qiyanjun deleted the clare-augmentatiom branch July 28, 2021 22:33
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3 participants