Meta-based self-training and re-weighting for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) means to identify fine-grained aspects, opinions, and sentiment polarities. Recent ABSA research focuses on utilizing multi-task learning (MTL) to achieve less computational costs and better performance. However, there are certain limits in MTL-based ABSA. For...
| 主要な著者: | , , , , |
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| その他の著者: | |
| フォーマット: | Journal Article |
| 言語: | English |
| 出版事項: |
2022
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| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/10356/163145 |