Continual Learning with Knowledge Transfer for Sentiment Classification

@article{Ke2020ContinualLW,
  title={Continual Learning with Knowledge Transfer for Sentiment Classification},
  author={Zixuan Ke and Bing Liu and Hao Wang and Lei Shu},
  journal={ArXiv},
  year={2020},
  volume={abs/2112.10021}
}
This paper studies continual learning (CL) for sentiment classification (SC). In this setting, the CL system learns a sequence of SC tasks incrementally in a neural network, where each task builds a classifier to classify the sentiment of reviews of a particular product category or domain. Two natural questions are: Can the system transfer the knowledge learned in the past from the previous tasks to the new task to help it learn a better model for the new task? And, can old models for previous… 

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