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SotA/Natural Language Processing/Entity Resolution

Entity Resolution

21 benchmarks184 papers

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)

Surveys on entity resolution:

  • Christophides et al.: End-to-End Entity Resolution for Big Data: A Survey, 2020.

  • Barlaug and Gulla: Neural Networks for Entity Matching: A Survey, 2021.

The task of entity resolution is closely related to the task of entity alignment which focuses on matching entities between knowledge bases. The task of entity linking differs from entity resolution as entity linking focuses on identifying entity mentions in free text.

Benchmarks

Entity Resolution on Amazon-Google

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Entity Resolution on Abt-Buy

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Entity Resolution on WDC Products-80%cc-seen-medium

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Entity Resolution on WDC Computers-small

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Entity Resolution on WDC Computers-xlarge

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Entity Resolution on WDC Products-50%cc-unseen-medium

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Entity Resolution on WDC Watches-small

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Entity Resolution on MusicBrainz20K

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Entity Resolution on WDC Watches-xlarge

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Entity Resolution on WDC Block - large

Candidate Set SizeRecall

Entity Resolution on WDC Block - medium

Candidate Set SizeRecall

Entity Resolution on WDC Block - small

Candidate Set SizeRecall

Entity Resolution on WDC Products-80%cc-seen-medium-multi

F1 Micro

Entity Resolution on WDC Products

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