A Comprehensive but Effective Share-Dependent Bidirectional Framework for Relational Triple Extraction
In the evolving landscape of information extraction systems, relational triple extraction has emerged as a pivotal component, especially with the rise of tagging-based methods. This research addresses the inherent limitations of traditional unidirectional and subject-centric models, which often stru...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2024-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/10556517/ |
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