Forward and Backward Knowledge Transfer for Sentiment Classification
Pages: 457 - 472
Published: Oct 15, 2019
Abstract
This paper studies the problem of learning a sequence of sentiment classification tasks. The learned knowledge from each task is retained and used to help future or subsequent task learning. This learning paradigm is called Lifelong Learning (LL). However, existing LL methods either only transfer knowledge forward to help future learning and do not go back to improve the model of a previous task or require the training data of the previous task...
Paper Details
Title
Forward and Backward Knowledge Transfer for Sentiment Classification
Published Date
Oct 15, 2019
Pages
457 - 472
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