MrMep: Joint Extraction of Multiple Relations and Multiple Entity Pairs Based on Triplet Attention
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Association for Computational Linguistics
Cited by 6 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. Relation guided and attention enhanced multi-head selection for relational facts extraction;Expert Systems with Applications;2024-09
2. Triple Extraction with Generative Technique for Constructing Weighted Knowledge Graph;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26
3. An end-to-end neural framework using coarse-to-fine-grained attention for overlapping relational triple extraction;Natural Language Engineering;2023-02-21
4. Multi-relation Identification for Few-Shot Document-Level Relation Extraction;Artificial Neural Networks and Machine Learning – ICANN 2023;2023
5. A Relation-Oriented Model With Global Context Information for Joint Extraction of Overlapping Relations and Entities;Frontiers in Neurorobotics;2022-07-04
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