Papers with Task Refinement Learning
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation (P19-1)
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| Challenge: | Existing approaches to domain adaptation (DA) require labeled data that can be found in only a handful of domains. |
| Approach: | They propose a task-refinement learning approach to solve pivot detection problems . they propose to train PBLM models with gradually increasing information exposed about each pivot . |
| Outcome: | The proposed approach achieves state-of-the-art accuracy in six domain adaptation setups for sentiment classification. |