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Syntax-Informed Self-Attention Network for Span-Based Joint Entity and Relation Extraction

机译：基于跨度的联合实体和关系提取的语法知识的自我关注网络

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Haiyang Zhang; Guanqun Zhang; Ricardo Ma;
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年度 2021
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2. Joint Model of Entity Recognition and Relation Extraction with Self-attention Mechanism [J] . Liu Maofu, Zhang Yukun, Li Wenjie, ACM transactions on Asian and low-resource language information processing . 2020,第4期

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3. Joint extraction of entities and relations in biomedical text with self-attention mechanism [J] . Basic & clinical pharmacology & toxicology. . 2019,第S10期

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4. Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations [C] . Bin Ji, Jie Yu, Shasha Li, International Conference on Computational Linguistics . 2020

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5. Learning for information extraction: From named entity recognition and disambiguation to relation extraction. [D] . Bunescu, Razvan Constantin. 2007

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6. A Relational Adaptive Neural Model for Joint Entity and Relation Extraction [O] . Guiduo Duan, Jiayu Miao, Tianxi Huang, 2021

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7. An Enhanced Deep Neural Network-Based Architecture for Joint Extraction of Entity Mentions and Relations [O] . Elham Parsaeimehr, Mehdi Fartash, Javad Akbari Torkestani 2020

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8. Extraction of Relations between Entities from Texts by Learning Methods [R] . Goujon, B. , Frigiere, J. 2006

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Syntax-Informed Self-Attention Network for Span-Based Joint Entity and Relation Extraction

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