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The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks.

Brihi JoshiNeil ShahFrancesco BarbieriLeonardo Neves
Published in: COLING (2020)
Keyphrases
  • database
  • real time
  • machine learning
  • preprocessing
  • computational cost
  • machine learning methods
  • real world
  • learning algorithm
  • multi class
  • benchmark datasets
  • cross validation
  • computationally expensive