Deep entity matching with adversarial active learning
Deep entity matching with adversarial active learning
复制标题
深度实体匹配与对抗性主动学习
DOI：
10.1007/s00778-022-00745-1
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发表时间：
2022-04
期刊：
影响因子：
--
通讯作者：
Yuzhong Qu
中科院分区：
文献类型：
--
作者：
Jiacheng Huang;Wei Hu;Zhifeng Bao;Qijin Chen;Yuzhong Qu
实体匹配（EM）是数据清理和集成中的基本任务，旨在确定数据库中指代相同现实世界实体的数据记录。尽管最近的深度学习技术显着改善了EM的性能，但
Entity matching (EM), as a fundamental task in data cleansing and integration, aims to identify the data records in databases that refer to the same real-world entity. While recent deep learning technologies significantly improve the performance of EM, they are often restrained by large-scale noisy data and insufficient labeled examples. In this paper, we present a novel EM approach based on deep neural networks and adversarial active learning. Specifically, we design a deep EM model to automatically complete missing textual values and capture both similarity and difference between records. Given that learning massive parameters in the deep model needs expensive labeling cost, we propose an adversarial active learning framework, which leverages active learning to collect a small amount of “good” examples and adversarial learning to augment the examples for stability enhancement. Additionally, to deal with large-scale databases, we present a dynamic blocking method that can be interactively tuned with the deep EM model. Our experiments on benchmark datasets demonstrate the superior accuracy of our approach and validate the effectiveness of all the proposed modules.
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影响因子：
8.9
作者：
G. Papadakis;Ekaterini Ioannou;Themis Palpanas;C. Niederée;W. Nejdl
通讯作者：
G. Papadakis;Ekaterini Ioannou;Themis Palpanas;C. Niederée;W. Nejdl
影响因子：
5.3
作者：
通讯作者：
--
DOI：
10.14778/2947618.2947624
发表时间：
2016-05
期刊：
Proc. VLDB Endow.
影响因子：
--
作者：
G. Papadakis;Jonathan Svirsky;A. Gal;Themis Palpanas
通讯作者：
G. Papadakis;Jonathan Svirsky;A. Gal;Themis Palpanas
DOI：
10.1109/icccnt56998.2023.10306417
发表时间：
2022-02
期刊：
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
影响因子：
--
作者：
Gilad Cohen;Raja Giryes
通讯作者：
Gilad Cohen;Raja Giryes
DOI：
10.1145/1807167.1807252
发表时间：
2010-06
期刊：
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
影响因子：
--
作者：
A. Arasu;M. Götz;R. Kaushik
通讯作者：
A. Arasu;M. Götz;R. Kaushik