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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
6211
Venue
SIGMOD
Year
2021
Pagerank
6.4225454e-05
Overall Rank
4,966 | 65.93%
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
4,590 Entity Resolution with Hierarchical Graph Attention Networks 2022 SIGMOD 6.6150054e-05
7,092 FlexER: Flexible Entity Resolution for Multiple Intents 2023 SIGMOD 5.705818e-05
7,134 PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching 2023 VLDB 5.6942765e-05
8,860 Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation 2023 SIGMOD 5.3564029e-05
9,437 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 5.2687567e-05
9,610 The Battleship Approach to the Low Resource Entity Matching Problem 2023 SIGMOD 5.2460348e-05
9,647 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.2430158e-05
9,930 Data Augmentation for ML-driven Data Preparation and Integration 2021 VLDB 5.1955087e-05
10,248 Generalized Entity Matching with Adaptivity via Large Language Models 2026 SIGMOD 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
11,262 Enriching Relations with Additional Attributes for ER 2024 VLDB 5.093636e-05
11,417 Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet 2023 SIGMOD 5.093636e-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
112 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00032801121
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
185 A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification 2005 SIGMOD 0.00026231189
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025235185
514 Goods: Organizing Google's Datasets 2016 SIGMOD 0.00017178673
528 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00017100838
529 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00017096361
582 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00016148948
626 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00015656958
764 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014226652
946 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013054126
1,094 Snuba: Automating Weak Supervision to Label Training Data 2019 VLDB 0.00012214617
1,101 KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing 2015 SIGMOD 0.00012168934
1,121 ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 VLDB 0.00012093059
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,476 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010659277
1,643 Falcon: Scaling Up Hands-Off Crowdsourced Entity Matching to Build Cloud Services 2017 SIGMOD 0.00010134956
2,223 Sato: Contextual Semantic Type Detection in Tables 2020 VLDB 8.9189986e-05
2,297 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 8.7897221e-05
2,463 A Comprehensive Benchmark Framework for Active Learning Methods in Entity Matching 2020 SIGMOD 8.5486912e-05
2,636 CrowdFill: Collecting Structured Data from the Crowd 2014 SIGMOD 8.31868e-05
3,281 Cleaning Crowdsourced Labels Using Oracles for Statistical Classification 2019 VLDB 7.5706653e-05
3,681 Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? 2018 VLDB 7.2037388e-05
3,715 SLiMFast: Guaranteed Results for Data Fusion and Source Reliability 2017 SIGMOD 7.1763559e-05
3,971 CLAMShell: Speeding up Crowds for Low-latency Data Labeling 2016 VLDB 6.9835263e-05
4,598 Temporal Rules Discovery for Web Data Cleaning 2016 VLDB 6.6127851e-05
5,391 MDedup: Duplicate Detection with Matching Dependencies 2020 VLDB 6.2343031e-05
6,392 Qualitative Data Cleaning 2016 VLDB 5.8883971e-05
7,357 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 5.6346837e-05
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