JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang
- Anthology ID:
- 2021.findings-acl.223
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2526–2538
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.223
- DOI:
- 10.18653/v1/2021.findings-acl.223
- Cite (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.
- Cite (Informal):
- JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs (Ke et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.findings-acl.223.pdf
- Code
- thu-coai/JointGT
- Data
- PathQuestion, WebNLG, WebQuestions