Data Augmentation has becoming more and more popular and important task in NLP. On the contrary to Computer Vision where all methods now are well-known and already pre-implemented in libraries, in NLP the situation is not so consistent.
So, there has been published a nice paper that accumulated all known due today techniques, models and applications of data augmentation in texts: https://arxiv.org/abs/2105.03075
In the appendix you can find the list of open-source that may be useful for your task. @Machine_learn
Data Augmentation has becoming more and more popular and important task in NLP. On the contrary to Computer Vision where all methods now are well-known and already pre-implemented in libraries, in NLP the situation is not so consistent.
So, there has been published a nice paper that accumulated all known due today techniques, models and applications of data augmentation in texts: https://arxiv.org/abs/2105.03075
In the appendix you can find the list of open-source that may be useful for your task. @Machine_learn
BY Machine learning books and papers
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