Joint Open Knowledge Base Canonicalization and Linking

Author:

Liu Yinan1,Shen Wei1,Wang Yuanfei1,Wang Jianyong2,Yang Zhenglu1,Yuan Xiaojie3

Affiliation:

1. Nankai University, Tianjin, China

2. Tsinghua University & Jiangsu Normal University, Beijing, China

3. Nankai Univeristy, Tianjin, China

Funder

Beijing Academy of Artificial Intelligence (BAAI)

Natural Science Foundation of Tianjin City

CAAI-Huawei MindSpore Open Fund

National Natural Science Foundation of China

National Key Research and Development Program of China

YESS by CAST

Publisher

ACM

Cited by 9 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. Multi-level feature interaction for open knowledge base canonicalization;Knowledge-Based Systems;2024-11

2. MBJELEL: An End-to-End Knowledge Graph Entity Linking Method Applied to Civil Aviation Emergencies;International Journal of Computational Intelligence Systems;2024-09-10

3. Open knowledge base canonicalization with multi-task learning;World Wide Web;2024-07-18

4. Ambiguous Entity Oriented Targeted Document Detection;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. Jointly Canonicalizing and Linking Open Knowledge Base via Unified Embedding Learning;Proceedings of the ACM Web Conference 2024;2024-05-13

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