A variational information bottleneck that maps entity tokens to stochastic Gaussian embeddings with a blending factor improves relation extraction F1 on general, financial, and biomedical datasets, especially under entity replacement.
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A Variational Approach for Mitigating Entity Bias in Relation Extraction
A variational information bottleneck that maps entity tokens to stochastic Gaussian embeddings with a blending factor improves relation extraction F1 on general, financial, and biomedical datasets, especially under entity replacement.