Global-to-Local Neural Networks for Document-Level Relation Extraction-Reference-Cited by-同舟云学术

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Global-to-Local Neural Networks for Document-Level Relation Extraction

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Author:

Wang Difeng,Hu Wei,Cao Ermei,Sun Weijian

Publisher

Association for Computational Linguistics

Cited by 55 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. LERCause: Deep learning approaches for causal sentence identification from nuclear safety reports;PLOS ONE;2024-08-22

2. ETCGN: entity type-constrained graph networks for document-level relation extraction;International Journal of Machine Learning and Cybernetics;2024-08-20

3. COREX: Document-level Relation Extraction Framework with Consistent Two-Hop Reasoning and Evidence Sentence Prediction;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Document-Level Relation Extraction Based on Machine Reading Comprehension and Hybrid Pointer-sequence Labeling;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-06-26

5. MMR: A Multi-view Merge Representation model for Chemical-Disease relation extraction;Computational Biology and Chemistry;2024-06

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