GNEM: A Generic One-to-Set Neural Entity Matching Framework

Author:

Chen Runjin1,Shen Yanyan1,Zhang Dongxiang2

Affiliation:

1. Shanghai Jiao Tong University, China

2. Zhejiang University, China

Publisher

ACM

Cited by 7 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. Enhancing Entity Resolution with a hybrid Active Machine Learning framework: Strategies for optimal learning in sparse datasets;Information Systems;2024-11

2. ERABQS: entity resolution based on active machine learning and balancing query strategy;Journal of Intelligent Information Systems;2024-03-26

3. Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching;Proceedings of the VLDB Endowment;2023-07

4. Pre-Trained Embeddings for Entity Resolution: An Experimental Analysis;Proceedings of the VLDB Endowment;2023-05

5. GCF-RD;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

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