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Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration
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Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration (2023)Unicorn: A Unified Multi-tasking Model fo…Domain Adaptation for Deep Entity Resolution (2022)Domain Adaptation for Deep En…Deep learning for blocking in entity matching (2021)Deep learning for blocking in…Magellan (2020)MagellanDeep entity matching with pre-trained language models (2020)Deep entity matching with pre…An Overview of End-to-End Entity Resolution for Big Data (2020)An Overview of End-to-End Ent…Distributed representations of tuples for entity resolution (2018)Distributed representations o…Deep Learning for Entity Matching (2018)Deep Learning for Entity Matc…Falcon (2017)FalconPrinciples of Data Integration (2012)Principles of Data IntegrationTrie-join (2010)Trie-joinRecord Linkage (1946)Record LinkageRobust and efficient fuzzy match for online data cleaning (2003)A Primitive Operator for Similarity Joins in Data Cleaning (2006)Efficient similarity joins for near duplicate detection (2008)MassJoin: A mapreduce-based method for scalable string similarity joins (2014)(Almost) all of entity resolution (2022)CrowdER (2012)Human-in-the-loop data integration (2017)The WDC Training Dataset and Gold Standard for Large-Scale Product Matching (2019)Three-dimensional Entity Resolution with JedAI (2020)Adaptive duplicate detection using learnable string similarity measures (2003)Duplicate Record Detection: A Survey (2006)A Theory for Record Linkage (1969)Blocking and Filtering Techniques for Entity Resolution (2020)CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks (2021)Neural Networks for Entity Matching: A Survey (2021)Interactive deduplication using active learning (2002)A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication (2011)Can Foundation Models Wrangle Your Data? (2022)Data cleaning and machine learning: a systematic literature review (2024)Data Matching (2012)Swoosh: a generic approach to entity resolution (2008)Detecting data errors (2016)Big data for agri-food 4.0: Application to sustainability management for by-products supply chain (2019)Missing data in surveys: Key concepts, approaches, and applications (2021)Pre-Trained Embeddings for Entity Resolution: An Experimental Analysis (2023)Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration (2024)Computerised linking of medical records: methodological guidelines. (1993)Practical introduction to record linkage for injury research (2004)Results from simulated data sets: probabilistic record linkage outperforms deterministic record linkage (2010)
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References

  • 2018Deep Learning for Entity Matching554 cited
  • 2012Principles of Data Integration535 cited
  • 2020Deep entity matching with pre-trained language models403 cited
  • 2020An Overview of End-to-End Entity Resolution for Big Data256 cited
  • 2018Distributed representations of tuples for entity resolution240 cited
  • 1946Record Linkage171 cited
  • 2010Trie-join124 cited
  • 2021Deep learning for blocking in entity matching91 cited
  • 2017Falcon87 cited
  • 2022Domain Adaptation for Deep Entity Resolution51 cited
  • 2020Magellan41 cited

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