Aspect Sentiment Triplet Extraction with Syntax-Semantics Graph Convolutional Network
Abstract In the traditional task of aspect sentiment triplet extraction, existing approaches typically focus on either syntactic or semantic features independently, failing to leverage the complementary integration of these two types of information. Although graph convolutional network-based approac...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Springer
2025-07-01
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| Серія: | International Journal of Computational Intelligence Systems |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s44196-025-00900-w |
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