Enhanced entity resolution and iterative inference mechanisms for document-level relation extraction
A dynamic parsing and relationship inference model for entity features that incorporates gating units and pooling strategies to dynamically update hidden states is proposed that outperforms the baseline model Adaptive Thresholding and Localized Context Pooling, particularly in extracting potential relationships across sentence–boundary entity pairs.
Haoxiang Yang, Guang-Hui Chang, Kuo Chen et al.
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