KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction-Reference-Cited by-同舟云学术

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KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
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Author:

Nadgeri Abhishek,Bastos Anson,Singh Kuldeep,Mulang’ Isaiah Onando,Hoffart Johannes,Shekarpour Saeedeh,Saraswat Vijay

Publisher

Association for Computational Linguistics

Cited by 19 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. A Survey on Challenges and Advances in Natural Language Processing with a Focus on Legal Informatics and Low-Resource Languages;Electronics;2024-02-04

2. Investigating the Challenges and Prospects of Construction Models for Dynamic Knowledge Graphs;IEEE Access;2024

3. A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal Transport;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. An Effective Knowledgeable Label-Aware Approach for Sentential Relation Extraction;Applied Sciences;2023-10-31

5. Into the Dynamics of Interpersonal Relationships from Diachronic Documents: Text-Based Temporal Social Network Construction;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

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