Papers with WDIRL
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis (2020.coling-main)
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| Challenge: | Cross-domain sentiment analysis is a hot topic in research and industry . domain-invariant representation learning (DIRL) is used to learn a feature representation across domains . but, when label distribution P(Y) shifts across domain, it degrades performance . |
| Approach: | They propose a domain-invariant representation learning framework to improve cross-domain sentiment analysis performance. |
| Outcome: | The proposed model is easy to transfer existing models to the proposed model. |