How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction-Reference-Cited by-同舟云学术

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How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
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Author:

Hu Zikun,Cao Yixin,Huang Lifu,Chua Tat-Seng

Publisher

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. A knowledge graph embedding model based on multi-level analogical reasoning;Cluster Computing;2024-05-07

2. Assessing the Overlap of Science Knowledge Graphs: A Quantitative Analysis;Lecture Notes in Computer Science;2024

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

4. Improving Hyper-relational Knowledge Graph Representation with Multi-grained Encoding;Database Systems for Advanced Applications;2023

5. Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

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