RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction-Reference-Cited by-同舟云学术

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RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
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Author:

Li Zhe,Fu Luoyi,Wang Xinbing,Zhang Haisong,Zhou Chenghu

Publisher

Association for Computational Linguistics

Cited by 13 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. Joint Relational Triple Extraction Based on Multicore Convolutional Attention and Entity Topic Enhancement;2024-09-14

2. Exploring the Role of Self-Adaptive Feature Words in Relation Quintuple Extraction for Scientific Literature;Applied Sciences;2024-05-09

3. A Parallel Model for Jointly Extracting Entities and Relations;Neural Processing Letters;2024-05-07

4. RSED: Zero-Shot Relation Triplet Extraction via Relation Selection and Entity Boundary Detection;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Joint Entity and Relation Extraction Model Based on Inner and Outer Tensor Dot Product and Single-Table Filling;Applied Sciences;2024-02-06

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