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NiceT: Named Entity Cleaning and Enhancement with Human-in-the-loop

Summary: NiceT is an interactive, visual workflow for cleaning and enriching noisy named entities via comparison, clustering, knowledge bases, and LLMs. It uniquely supports attribute-level expert input and how-provenance, demonstrated on journalist-inspired real datasets. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h2743514118302415
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,981 | 26.17%
DOI
10.14778/3827998.3828087

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Authors

BibTeX Citation

@article{gaur_vldb26,
        title = {{NiceT: Named Entity Cleaning and Enhancement with Human-in-the-loop}},
        author = {Gaur, Garima and Manolescu, Ioana and Tenorio, María Mellado and Mohanty, Madhulika and Sommer, Moritz},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4646--4649},
        doi = {10.14778/3827998.3828087},
        url = {https://doi.org/10.14778/3827998.3828087},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
17 Provenance Semirings 2007 PODS 0.00059752575
104 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00033690989
483 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00017590977
7,850 CoClean: Collaborative Data Cleaning 2020 SIGMOD 5.4405793e-05
7,872 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.4362062e-05
8,695 From Papers to Practice: The openclean Open-Source Data Cleaning Library 2021 VLDB 5.2905577e-05
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