Three-stage Logical Table-to-Text Generation based on Type Control
Author:
Affiliation:
1. University of Electronic Science & Technology of China, China
2. China Jiuyuan Hi-tech equipment corporation, China
Funder
the National Key R&D Program of China
the National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3579654.3579667
Reference24 articles.
1. Table-to-Text: Describing Table Region With Natural Language
2. Wenhu Chen Jianshu Chen Yu Su Zhiyu Chen and William Yang Wang. 2020. Logical natural language generation from open-domain tables. arXiv preprint arXiv:2004.10404(2020). Wenhu Chen Jianshu Chen Yu Su Zhiyu Chen and William Yang Wang. 2020. Logical natural language generation from open-domain tables. arXiv preprint arXiv:2004.10404(2020).
3. De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation
4. Wenhu Chen , Hongmin Wang , Jianshu Chen , Yunkai Zhang , Hong Wang , Shiyang Li , Xiyou Zhou , and William Yang Wang . 2019 . Tabfact: A large-scale dataset for table-based fact verification. arXiv preprint arXiv:1909.02164(2019). Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, and William Yang Wang. 2019. Tabfact: A large-scale dataset for table-based fact verification. arXiv preprint arXiv:1909.02164(2019).
5. Zhiyu Chen Wenhu Chen Hanwen Zha Xiyou Zhou Yunkai Zhang Sairam Sundaresan and William Yang Wang. 2020. Logic2text: High-fidelity natural language generation from logical forms. arXiv preprint arXiv:2004.14579(2020). Zhiyu Chen Wenhu Chen Hanwen Zha Xiyou Zhou Yunkai Zhang Sairam Sundaresan and William Yang Wang. 2020. Logic2text: High-fidelity natural language generation from logical forms. arXiv preprint arXiv:2004.14579(2020).
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