Papers with sentiment-aware auxiliary tasks
KESA: A Knowledge Enhanced Approach To Sentiment Analysis (2022.aacl-main)
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| Challenge: | Recent work on injecting sentiment knowledge into pre-trained language models, but it is difficult to integrate external knowledge into PLMs. |
| Approach: | They propose two sentiment-aware auxiliary tasks to integrate sentiment knowledge into the objective of the downstream task. |
| Outcome: | The proposed tasks outperform baselines and complement existing sentiment-enhanced models. |