Structural information preserving for graph-to-text generation

L Song, A Wang, J Su, Y Zhang, K Xu, Y Ge… - arXiv preprint arXiv …, 2021 - arxiv.org
The task of graph-to-text generation aims at producing sentences that preserve the meaning
of input graphs. As a crucial defect, the current state-of-the-art models may mess up or even …
被引用次数：57 相关文章

Structural Information Preserving for Graph-to-Text Generation

L Song, A Wang, J Su, Y Zhang, K Xu, Y Ge… - arXiv e …, 2021 - ui.adsabs.harvard.edu
The task of graph-to-text generation aims at producing sentences that preserve the meaning
of input graphs. As a crucial defect, the current state-of-the-art models may mess up or even …

Structural Information Preserving for Graph-to-Text Generation

L Song, A Wang, J Su, Y Zhang, K Xu, Y Ge, D Yu - ai.tencent.com
The task of graph-to-text generation aims at producing sentences that preserve the meaning
of input graphs. As a crucial defect, the current state-of-the-art models may mess up or even …
[PDF] github.io

[PDF][PDF] Structural Information Preserving for Graph-to-Text Generation

L Song, A Wang, J Su, Y Zhang, K Xu, Y Ge, D Yu - freesunshine0316.github.io
The task of graph-to-text generation aims at producing sentences that preserve the meaning
of input graphs. As a crucial defect, the current state-of-the-art models may mess up or even …

Structural Information Preserving for Graph-to-Text Generation

L Song, A Wang, J Su, Y Zhang, K Xu… - Proceedings of the …, 2020 - aclanthology.org
The task of graph-to-text generation aims at producing sentences that preserve the meaning
of input graphs. As a crucial defect, the current state-of-the-art models may mess up or even …