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...
Gorde:
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IEEE
2024-01-01
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| Saila: | IEEE Access |
| Gaiak: | |
| Sarrera elektronikoa: | https://ieeexplore.ieee.org/document/10556517/ |
| Etiketak: |
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