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injasonwei20/eda_nlp (press backspace or delete to remove)

Hello, Thank you very much for providing such a useful tool. To address the issue where the process stops when the base sentence for augmentation contains non-English characters like Japanese texts and ...
  • tknrych
  • Opened 
    on Dec 4, 2024
  • #43

Hi, I hope you re doing great. I ve been using your code with English text for a while and now I need to implement it for Persian Language. (hopefully with minimal change!) Your work is truly impressive! ...
  • MohammadVahidiPro
  • Opened 
    on Aug 12, 2023
  • #41

Hi, thank you for the great repo. Could you add a license to it, like MIT or Apache 2.0? Thank you very much.
  • bryanyzhu
  • 1
  • Opened 
    on Jan 9, 2023
  • #38

Hi Jason! Sorry to interrupt you. I can t contact you via email. I have to try this place. I am very interested in your EMNLP paper Good-Enough Example Extrapolation , which provides me lots of inspirations. ...
  • beyondguo
  • Opened 
    on Dec 20, 2021
  • #37

Does anyone has list of supported languages for using this module? I couldn t find it in original paper.
  • nixonthe
  • Opened 
    on Aug 30, 2021
  • #36

random_idx = random.randint(0, len(new_words)-1) For I have a dream, it can t produce I have a dream [RANDOM]
  • efeiefei
  • Opened 
    on Jul 9, 2021
  • #35

I have processed the data according to the data format you said,Here are my running scripts and errors python code/augment.py --input=train_50w.en --output=train_50w._augmented.txt --num_aug=1 --alpha_sr=0.05 ...
  • genbei
  • 5
  • Opened 
    on Jun 3, 2021
  • #34

Hello Jason Wei, great paper great idea and I read your paper about Easy Data Augmentation. I m trying to implement your experiment result, but I don t know how you find the best alpha and num_aug. In ...
  • rohnson1999
  • 1
  • Opened 
    on May 14, 2021
  • #33

I ve seen the documentation refer to input text in English. Does it scale to other languages too? Or what do you recommend for supporting other languages?
  • bitliner
  • 1
  • Opened 
    on Dec 10, 2020
  • #32

In the semi-supervised field, first perform eda on labeled data If I use 500 pieces of data in the fine-tuning stage, will the use of the eda method improve the results? (the bert model is officially trained) ...
  • cuczy
  • 1
  • Opened 
    on Dec 5, 2020
  • #31
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