Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation
Keywords:Deep Learning, Text Generation, Variational Autoencoders
AbstractAutomatically 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.
How to Cite
Ren, Y., Wang, Z., Wang, Y., & Zhang, X. (2021). Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15879-15880. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17936
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