Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation

Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang


Anthology ID:
2021.findings-acl.427
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4831–4843
Language:
URL:
https://aclanthology.org/2021.findings-acl.427
DOI:
10.18653/v1/2021.findings-acl.427
Bibkey:
Cite (ACL):
Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, and Hongxia Yang. 2021. Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4831–4843, Online. Association for Computational Linguistics.
Cite (Informal):
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation (Wang et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.427.pdf
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