Papers by Brian Pinette
Open Aspect Target Sentiment Classification with Natural Language Prompts (2021.emnlp-main)
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| Challenge: | Existing aspects target sentiment classification models are not trainable if annotated data are not available. |
| Approach: | They propose an approach that solves ATSC with natural language prompts by 24.13 accuracy points and 33.14 macro F1 points. |
| Outcome: | The proposed model outperforms supervised SOTA approaches under few-shot scenarios and under supervised settings, especially for few-shot cases. |