Papers by Junshen Chen
Modular Domain Adaptation (2022.findings-acl)
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| Challenge: | Existing models for sentiment analysis and hate speech detection are difficult to account for domain shift without access to source data. |
| Approach: | They propose to treat domain adaptation as a modular process that involves separate model producers and model consumers . they demonstrate that they can independently cooperate to facilitate more accurate measurements of text . |
| Outcome: | The proposed methods improve out-of-domain accuracy on four multi-domain text classification datasets. |