Domain Adaptation for Deep Entity Resolution

Summary: Domain Adaptation for Deep Entity Resolution transfers DL-ER models from labeled sources to unlabeled or sparsely labeled targets. Three-module space—Feature Extractor, Matcher, Feature Aligner—and an empirical study guiding DA choices for ER. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6384
Venue: SIGMOD
Year: 2022
Pagerank: 6.1071585e-05
Overall Rank: 5,730 | 60.69%
DOI: 10.1145/3514221.3517870

Incoming Non-self Citations Over Time

Authors

1. Jianhong Tu (Renmin University of China)
2. Ju Fan (Renmin University of China)
3. Nan Tang (Qatar Computing Research Institute)
4. Peng Wang (Renmin University of China)
5. Chengliang Chai (Tsinghua University)
6. Guoliang Li (Tsinghua University)
7. Ruixue Fan (Renmin University of China)
8. Xiaoyong Du (Renmin University of China)

BibTeX Citation

@inproceedings{tu_sigmod22,
        title = {{Domain Adaptation for Deep Entity Resolution}},
        author = {Tu, Jianhong and Fan, Ju and Tang, Nan and Wang, Peng and Chai, Chengliang and Li, Guoliang and Fan, Ruixue and Du, Xiaoyong},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517870},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517870},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,436	Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration	2023	SIGMOD	7.4157897e-05
3,787	Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL	2024	VLDB	7.1249098e-05
7,134	PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching	2023	VLDB	5.6942765e-05
8,177	HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation	2023	SIGMOD	5.4730821e-05
8,336	DADER: Hands-Off Entity Resolution with Domain Adaptation	2022	VLDB	5.451516e-05
9,177	VerifAI: Verified Generative AI	2024	CIDR	5.3078984e-05
9,491	CEDA: Learned Cardinality Estimation with Domain Adaptation	2023	VLDB	5.2626014e-05
9,647	Rock: Cleaning Data by Embedding ML in Logic Rules	2024	SIGMOD	5.2430158e-05
10,203	BEACON: Budget-Aware Entity Matching Across Domains	2026	SIGMOD	5.093636e-05
10,856	Optimized Batch Prompting for Cost-effective LLMs	2025	VLDB	5.093636e-05
10,931	AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework	2025	VLDB	5.093636e-05
11,255	Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution	2024	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
141	Deep Entity Matching with Pre-Trained Language Models	2021	VLDB	0.0002964847
176	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD	0.00027191081
489	Distributed Representations of Tuples for Entity Resolution	2018	VLDB	0.0001761456
619	Reasoning about Record Matching Rules	2009	VLDB	0.00015707247
1,465	Synthesizing Entity Matching Rules by Examples	2018	VLDB	0.00010689571
2,019	RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation	2021	VLDB	9.2983994e-05
2,475	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB	8.5277654e-05
3,262	iCrowd: An Adaptive Crowdsourcing Framework	2015	SIGMOD	7.5846052e-05
3,713	Generating Concise Entity Matching Rules	2017	SIGMOD	7.176496e-05
4,538	Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach	2016	SIGMOD	6.6404776e-05
4,835	Adaptive Data Augmentation for Supervised Learning over Missing Data	2021	VLDB	6.486592e-05
5,211	CDB: A Crowd-Powered Database System	2018	VLDB	6.3161892e-05
6,908	Cost-Effective Data Annotation using Game-Based Crowdsourcing	2019	VLDB	5.7415834e-05
9,401	CDB: Optimizing Queries with Crowd-Based Selections and Joins	2017	SIGMOD	5.2755515e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	1,402	Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks	2020	SIGMOD
2	10,318	In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration	2026	SIGMOD
3	2,290	ZeroER: Entity Resolution using Zero Labeled Examples	2020	SIGMOD
4	5,830	Exploiting Context Analysis for Combining Multiple Entity Resolution Systems	2009	SIGMOD
5	176	Deep Learning for Entity Matching: A Design Space Exploration	2018	SIGMOD
6	489	Distributed Representations of Tuples for Entity Resolution	2018	VLDB
7	11,255	Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution	2024	VLDB
8	2,475	Deep Learning for Blocking in Entity Matching: A Design Space Exploration	2021	VLDB
9	8,077	Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation	2022	VLDB
10	8,336	DADER: Hands-Off Entity Resolution with Domain Adaptation	2022	VLDB