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Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond

Summary: Rotom: meta-learned data augmentation for entity matching, data cleaning, and text classification. Introduces InvDA (seq2seq) and a learned policy to combine DA operators, reducing hyperparameter search and boosting low-resource results, beating SOTA. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hce97fe45363ee237
Venue
SIGMOD
Year
2021
Pagerank
6.2624729e-05
Overall Rank
5,100 | 65.82%
DOI
10.1145/3448016.3457258

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{miao_sigmod21,
        title = {{Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond}},
        author = {Miao, Zhengjie and Li, Yuliang and Wang, Xiaolan},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457258},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457258},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
4,691 Entity Resolution with Hierarchical Graph Attention Networks 2022 SIGMOD 6.4502667e-05
7,190 FlexER: Flexible Entity Resolution for Multiple Intents 2023 SIGMOD 5.5737453e-05
7,304 PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching 2023 VLDB 5.5454795e-05
7,892 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.4156936e-05
8,161 Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation 2023 SIGMOD 5.37207e-05
9,634 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 5.1354312e-05
9,823 The Battleship Approach to the Low Resource Entity Matching Problem 2023 SIGMOD 5.1089508e-05
10,153 Data Augmentation for ML-driven Data Preparation and Integration 2021 VLDB 5.0597449e-05
10,242 Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution 2024 VLDB 5.0418764e-05
10,539 Generalized Entity Matching with Adaptivity via Large Language Models 2026 SIGMOD 4.9605343e-05
11,644 Enriching Relations with Additional Attributes for ER 2024 VLDB 4.9605343e-05
11,781 Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet 2023 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 30 of 30 cited papers.

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

Rank Cited Paper Year Venue Pagerank
100 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00033951027
132 Deep Entity Matching with Pre-Trained Language Models 2021 VLDB 0.00030213215
158 Deep Learning for Entity Matching: A Design Space Exploration 2018 SIGMOD 0.00028049555
190 A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification 2005 SIGMOD 0.00025812169
200 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025443474
460 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00017836918
512 Goods: Organizing Google's Datasets 2016 SIGMOD 0.00017036842
517 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00016946929
535 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00016768308
621 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00015460277
783 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014015599
853 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013437314
1,041 ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 VLDB 0.00012334538
1,099 KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing 2015 SIGMOD 0.00012008783
1,123 Snuba: Automating Weak Supervision to Label Training Data 2019 VLDB 0.00011901566
1,226 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011432354
1,347 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010947547
1,650 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 9.9690948e-05
1,731 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 9.7585913e-05
1,985 Sato: Contextual Semantic Type Detection in Tables 2020 VLDB 9.2378767e-05
2,476 A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching 2020 SIGMOD 8.3932405e-05
2,650 CrowdFill: Collecting Structured Data from the Crowd 2014 SIGMOD 8.1519618e-05
3,318 Cleaning Crowdsourced Labels Using Oracles for Statistical Classification 2019 VLDB 7.4142395e-05
3,674 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 7.090133e-05
3,797 SLiMFast: Guaranteed Results for Data Fusion and Source Reliability 2017 SIGMOD 6.9951279e-05
4,029 CLAMShell: Speeding up Crowds for Low-latency Data Labeling 2016 VLDB 6.8285702e-05
4,653 Temporal Rules Discovery for Web Data Cleaning 2016 VLDB 6.4706099e-05
5,544 MDedup: Duplicate Detection with Matching Dependencies 2020 VLDB 6.0726379e-05
6,327 Qualitative Data Cleaning 2016 VLDB 5.7945802e-05
6,791 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.6647309e-05
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