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Found 4 papers, 1 papers with code
ShallowBlocker: Improving Set Similarity Joins for Blocking
Blocking is a crucial step in large-scale entity matching but often requires significant manual engineering from an expert for each new dataset.
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation
Furthermore, we propose Domain-specific Frequency (DF), a novel word-level importance weight that measures the relative importance of a word for a specific corpus compared to other corpora.
LEMON: Explainable Entity Matching
State-of-the-art entity matching (EM) methods are hard to interpret, and there is significant value in bringing explainable AI to EM.
Neural Networks for Entity Matching: A Survey
In this survey, we present how neural networks have been used for entity matching.
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