A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction

In knowledge graph construction, a challenging issue is how to extract complex (e.g., overlapping) entities and relationships from a small amount of unstructured historical data. The traditional pipeline methods are to divide the extraction into two separate subtasks, which misses the potential inte...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence 2024-06, p.1-13
Hauptverfasser:	Cheng, Jian, Zhang, Tian, Zhang, Shuang, Ren, Huimin, Yu, Guo, Zhang, Xiliang, Gao, Shangce, Ma, Lianbo
Format:	Artikel
Sprache:	eng
Schlagworte:	cascade dual-decoder Computational modeling Data mining Decoding Feature extraction Information extraction joint entity and relation extraction Semantics Tagging Tail
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