A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking. (arXiv:2210.15147v1 [cs.CL])

Text classification is a very classic NLP task, but it has two prominent
shortcomings: On the one hand, text classification is deeply domain-dependent.
That is, a classifier trained on the corpus of one domain may not perform so
well in another domain. On the other hand, text classification models require a
lot of annotated data for training. However, for some domains, there may not
exist enough annotated data. Therefore, it is valuable to investigate how to
efficiently utilize text data …

arxiv classification curriculum curriculum learning ranking text text classification