Papers by Hongzhi Zou

1 papers
Structure-aware Knowledge Graph-to-text Generation with Planning Selection and Similarity Distinction (2023.emnlp-main)

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Challenge: Existing methods to generate knowledge graph-to-text (KG-to) text rely on pre-trained language models to bridge the gap between the different structures of the input KG and the target text.
Approach: They propose a method that integrates graph structure-aware modules with pre-trained language models to capture the intricate topology information present in the KG.
Outcome: The proposed model captures the topology information present in the knowledge graph and distinguishes similar input KGs through contrastive learning techniques.

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