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Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration
10 references·0 citing·22 second hop
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration (2024)Cost-Effective In-Context Learning for En…Domain Adaptation for Deep Entity Resolution (2022)Domain Adaptation for Deep En…Can Foundation Models Wrangle Your Data? (2022)Can Foundation Models Wrangle…Dual-objective fine-tuning of BERT for entity matching (2021)Dual-objective fine-tuning of…Deep learning for blocking in entity matching (2021)Deep learning for blocking in…Deep entity matching with pre-trained language models (2020)Deep entity matching with pre…Blocking and Filtering Techniques for Entity Resolution (2020)Blocking and Filtering Techni…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Distributed representations of tuples for entity resolution (2018)Distributed representations o…Deep Learning for Entity Matching (2018)Deep Learning for Entity Matc…CrowdER: Crowdsourcing Entity Resolution (2012)CrowdER: Crowdsourcing Entity…Adaptive duplicate detection using learnable string similarity measures (2003)Duplicate Record Detection: A Survey (2006)An Overview of End-to-End Entity Resolution for Big Data (2020)Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm (1979)GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks (2020)Improving the Efficiency and Effectiveness for BERT-based Entity Resolution (2021)A Theory for Record Linkage (1969)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)Data cleaning and machine learning: a systematic literature review (2024)Swoosh: a generic approach to entity resolution (2008)CrowdER (2012)The EU General Data Protection Regulation (GDPR) (2017)Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines (2023)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)(Almost) all of entity resolution (2022)Supervised Contrastive Learning for Product Matching (2022)Pre-Trained Embeddings for Entity Resolution: An Experimental Analysis (2023)
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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2018Deep Learning for Entity Matching554 cited
  • 2020Deep entity matching with pre-trained language models403 cited
  • 2018Distributed representations of tuples for entity resolution240 cited
  • 2020Blocking and Filtering Techniques for Entity Resolution212 cited
  • 2022Can Foundation Models Wrangle Your Data?181 cited
  • 2021Deep learning for blocking in entity matching91 cited
  • 2021Dual-objective fine-tuning of BERT for entity matching71 cited
  • 2012CrowdER: Crowdsourcing Entity Resolution63 cited
  • 2022Domain Adaptation for Deep Entity Resolution51 cited

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