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Predicting the Success of Domain Adaptation in Text Similarity
Transfer learning methods, and in particular domain adaptation, help exploit labeled data in one domain to improve the performance of a certain task in another domain.
Customizing Contextualized Language Models forLegal Document Reviews
Inspired by the inductive transfer learning on computer vision, many efforts have been made to train contextualized language models that boost the performance of natural language processing tasks.
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