Papers by Yingxin Liu

1 papers
Exploring the Synergy of Dual-path Encoder and Alignment Module for Better Graph-to-Text Generation (2024.lrec-main)

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Challenge: KG-to-text generation model lacks explicit graph-text alignment strategy due to discrepancy between textual and structure information.
Approach: They propose a synergetic knowledge graph-to-text model with a dual-path encoder, alignment module and guidance module to solve these problems.
Outcome: The proposed model achieves competitive performance on three benchmark datasets.

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