Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

Author:

Zheng Shun,Cao Wei,Xu Wei,Bian Jiang

Publisher

Association for Computational Linguistics

Cited by 71 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. EADRE: Event-type Aware Dynamic Representation of Entities in Document-level Event Extraction;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-09-13

2. Enhancing Chinese Event Extraction with Event Trigger Structures;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-07-19

3. A Deep Learning Approach for Document-level Chinese Financial Event Extraction;Proceedings of the 2024 3rd International Symposium on Robotics, Artificial Intelligence and Information Engineering;2024-07-05

4. Recurrent event query decoder for document-level event extraction;Engineering Applications of Artificial Intelligence;2024-07

5. Research on the joint event extraction method orientates food live e-commerce;Electronic Commerce Research and Applications;2024-07

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