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%0 Conference Proceedings
%T JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
%A Ke, Pei
%A Ji, Haozhe
%A Ran, Yu
%A Cui, Xin
%A Wang, Liwei
%A Song, Linfeng
%A Zhu, Xiaoyan
%A Huang, Minlie
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F ke-etal-2021-jointgt
%R 10.18653/v1/2021.findings-acl.223
%U https://aclanthology.org/2021.findings-acl.223
%U https://doi.org/10.18653/v1/2021.findings-acl.223
%P 2526-2538

Markdown (Informal)

[JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs](https://aclanthology.org/2021.findings-acl.223) (Ke et al., Findings 2021)

• JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs (Ke et al., Findings 2021)

ACL

• Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, and Minlie Huang. 2021. JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2526–2538, Online. Association for Computational Linguistics.