Enhancing the generalization for text classification through fusion of backward features

HIGHLIGHTS

  • who: Dewen Seng and Xin Wu from the School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China have published the article: Enhancing the Generalization for Text Classification through Fusion of Backward Features, in the Journal: Sensors 2023, 23, 1287. of 17/01/2023
  • what: Inspired by the feature purification network (FP-Net) , the authors propose a method called the feature augmentation network (FA-Net). To show the effectiveness of the method , the authors implement it on sentiment analysis and sarcasm detection datasets. Due to the highly expressive ability of BERT`s encoder, many . . .

     

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