ML Anthology

Generating Long Financial Report Using Conditional Variational Autoencoders with Knowledge Distillation

Yunpeng Ren, Ziao Wang, Yiyuan Wang, Xiaofeng Zhang
AAAI 2021 pp. 15879-15880
doi:10.1609/AAAI.V35I18.17936 /aaai/2021/ren2021aaai-generating/

Abstract

Automatically generating financial report from a piece of news is quite a challenging task. Apparently, the difficulty of this task lies in the lack of sufficient background knowledge to effectively generate long financial report. To address this issue, this paper proposes the conditional variational autoencoders (CVAE) based approach which distills external knowledge from a corpus of news-report data. Experimental results demonstrate that the proposed approach could achieve the SOTA performance.

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Cite

Text

Ren et al. "Generating Long Financial Report Using Conditional Variational Autoencoders with Knowledge Distillation." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.17936

Markdown

[Ren et al. "Generating Long Financial Report Using Conditional Variational Autoencoders with Knowledge Distillation." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/ren2021aaai-generating/) doi:10.1609/AAAI.V35I18.17936

BibTeX

@inproceedings{ren2021aaai-generating,
  title     = {{Generating Long Financial Report Using Conditional Variational Autoencoders with Knowledge Distillation}},
  author    = {Ren, Yunpeng and Wang, Ziao and Wang, Yiyuan and Zhang, Xiaofeng},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {15879-15880},
  doi       = {10.1609/AAAI.V35I18.17936},
  url       = {https://mlanthology.org/aaai/2021/ren2021aaai-generating/}
}