Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers

HIGHLIGHTS

• who: Markus Bayer from the Technical University of Darmstadt, Darmstadt, Germany have published the article: Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers, in the Journal: (JOURNAL)
• what: The authors propose a sophisticated generation-based method that overcomes these problems by incorporating new linguistic patterns (i.e., a high grammatical variety) which prove to be useful in combination with pre-trained models. The authors seek to answer three research questions: How can the authors utilize text generation approaches of data augmentation that achieve a high novelty . . .
  

   

  

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