Papers by Qiankun Zhao
Cross-Domain Data Augmentation with Domain-Adaptive Language Modeling for Aspect-Based Sentiment Analysis (2023.acl-long)
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| Challenge: | Cross-domain Aspect-Based Sentiment Analysis (ABSA) aims to identify aspect-sentiment pairs in sentences from a target domain. |
| Approach: | They propose a domain-adaptive language model to generate labeled data from a source domain. |
| Outcome: | The proposed approach outperforms existing methods on ABSA and Aspect Extraction tasks. |