Papers with supervised entity matching models

1 papers
Learning from Natural Language Explanations for Generalizable Entity Matching (2024.emnlp-main)

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Challenge: Entity matching is the task of linking records from different sources that refer to the same real-world entity.
Approach: They propose to "distill" LLM reasoning into smaller entity matching models via natural language explanations.
Outcome: The proposed model distillation approach achieves strong performance on out-of-domain generalization tests (10.85% F-1).

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