A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set

@article{Tong2022AMD,
  title={A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set},
  author={Jiajun Tong and Zhixi Wang and Xiaobin Rui},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.12027}
}
: Text classification plays an important role in many practical applications. In the real world, there are extremely small datasets. Most existing methods adopt pre-trained neural network models to handle this kind of dataset. However, these methods are either difficult to deploy on mobile devices because of their large output size or cannot fully extract the deep semantic information between phrases and clauses. This paper proposes a multimodel-based deep learning framework for short-text… 

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