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Chengkun Lang

1 accepted papers

2020

Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction

COLING 2020main

Document-level Relation Extraction (RE) is particularly challenging due to complex semantic interactions among multiple entities in a document. Among exiting approaches, Graph Convolutional Networks (GCN) is one of the most effective approaches for document-level RE. However, traditional GCN simply…