Papers by Zhanling Sun

1 papers
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction (D18-1)

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Challenge: Existing neural networks focus on instance representation, and subsampling fails to retain precise spatial relationships between higher-level parts.
Approach: They propose a neural approach based on capsule networks with attention mechanisms to extract relational information from a capsule.
Outcome: The proposed method improves the precision of the predicted relations with different benchmarks.

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