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Weihong Yao

2 accepted papers

2024

Sequential and Repetitive Pattern Learning for Temporal Knowledge Graph Reasoning

COLING 2024main

Temporal Knowledge Graph (TKG) reasoning has received a growing interest recently, especially in forecasting the future facts based on the historical KG sequences. Existing studies typically utilize a recurrent neural network to learn the evolutional representations of entities for temporal reasonin…

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…