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Cleaning data with Llunatic

The VLDB journal, 2020-07, Vol.29 (4), p.867-892

2020

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Transformers for Tabular Data Representation: A Survey of Models and Applications

Transactions of the Association for Computational Linguistics, 2023-03, Vol.11, p.227-249

2023

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Transformers for tabular data representation: a tutorial on models and applications

Proceedings of the VLDB Endowment, 2022-08, Vol.15 (12), p.3746-3749

2022

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Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020, p.1335-1349

2020

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Discovering denial constraints

Proceedings of the VLDB Endowment, 2013-08, Vol.6 (13), p.1498-1509

2013

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The LLUNATIC data-cleaning framework

Proceedings of the VLDB Endowment, 2013-07, Vol.6 (9), p.625-636

2013

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RuDiK: rule discovery in knowledge bases

Proceedings of the VLDB Endowment, 2018-08, Vol.11 (12), p.1946-1949

2018

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Technical Perspective of TURL: Table Understanding through Representation Learning

SIGMOD record, 2022-05, Vol.51 (1), p.32-32

Papotti, Paolo

2022

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Robust Discovery of Positive and Negative Rules in Knowledge Bases

2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, p.1168-1179

2018

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Detecting data errors: where are we and what needs to be done?

Proceedings of the VLDB Endowment, 2016-08, Vol.9 (12), p.993-1004

2016

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Meta-mappings for schema mapping reuse

Proceedings of the VLDB Endowment, 2019-01, Vol.12 (5), p.557-569

2019

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Introduction to the Special Issue on Truth and Trust Online

ACM journal of data and information quality, 2023-02, Vol.15 (1), p.1-3, Article 1

2023

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Scrutinizer: fact checking statistical claims

Proceedings of the VLDB Endowment, 2020-08, Vol.13 (12), p.2965-2968

2020

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Unsupervised Matching of Data and Text

2022 IEEE 38th International Conference on Data Engineering (ICDE), 2022, p.1058-1070

2022

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Editorial: Special Issue on Deep Learning for Data Quality

ACM journal of data and information quality, 2022-09, Vol.14 (3), p.1-3, Article 14

2022

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Synthesizing entity matching rules by examples

Proceedings of the VLDB Endowment, 2017-10, Vol.11 (2), p.189-202

2017

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BUNNI: Learning Repair Actions in Rule-driven Data Cleaning

ACM journal of data and information quality, 2024-06, Vol.16 (2), p.1-31, Article 12

2024

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Scrutinizer: a mixed-initiative approach to large-scale, data-driven claim verification

Proceedings of the VLDB Endowment, 2020-08, Vol.13 (12), p.2508-2521

2020

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Extraction and integration of partially overlapping web sources

Proceedings of the VLDB Endowment, 2013-08, Vol.6 (10), p.805-816

2013

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Holistic data cleaning: Putting violations into context

2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013, p.458-469

2013

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That's all folks: llunatic goes open source

Proceedings of the VLDB Endowment, 2014-08, Vol.7 (13), p.1565-1568

2014

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Temporal rules discovery for web data cleaning

Proceedings of the VLDB Endowment, 2015-12, Vol.9 (4), p.336-347

2015

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Generation of Training Examples for Tabular Natural Language Inference

Proceedings of the ACM on management of data, 2023-12, Vol.1 (4), p.1-27, Article 243

2023

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Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data

Proceedings of the 2022 International Conference on Management of Data, 2022, p.2409-2412

2022

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Exploratory Training: When Annonators Learn About Data

Proceedings of the ACM on management of data, 2023-06, Vol.1 (2), p.1-25, Article 135

2023

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Cleaning data with Llunatic

Transformers for Tabular Data Representation: A Survey of Models and Applications

Transformers for tabular data representation: a tutorial on models and applications

Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks

Discovering denial constraints

The LLUNATIC data-cleaning framework

RuDiK: rule discovery in knowledge bases

Technical Perspective of TURL: Table Understanding through Representation Learning

Robust Discovery of Positive and Negative Rules in Knowledge Bases

Detecting data errors: where are we and what needs to be done?

Meta-mappings for schema mapping reuse

Introduction to the Special Issue on Truth and Trust Online

Scrutinizer: fact checking statistical claims

Unsupervised Matching of Data and Text

Editorial: Special Issue on Deep Learning for Data Quality

Synthesizing entity matching rules by examples

BUNNI: Learning Repair Actions in Rule-driven Data Cleaning

Scrutinizer: a mixed-initiative approach to large-scale, data-driven claim verification

Extraction and integration of partially overlapping web sources

Holistic data cleaning: Putting violations into context

That's all folks: llunatic goes open source

Temporal rules discovery for web data cleaning

Generation of Training Examples for Tabular Natural Language Inference

Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data

Exploratory Training: When Annonators Learn About Data

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