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%0 Conference Proceedings
%T Using Deep Learning to Find the Next Unicorn: A Practical Synthesis on Optimization Target, Feature Selection, Data Split and Evaluation Strategy
%A Cao, Lele
%A von Ehrenheim, Vilhelm
%A Stan, Sebastian
%A Li, Xiaoxue
%A Lutz, Alexandra
%Y Chen, Chung-Chi
%Y Takamura, Hiroya
%Y Mathur, Puneet
%Y Sawhney, Remit
%Y Huang, Hen-Hsen
%Y Chen, Hsin-Hsi
%S Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting
%D 2023
%8 20 aug
%I -
%C Macao
%F loukas-etal-2023-using
%U https://aclanthology.org/2023.finnlp-1.6
%P 63-73

Markdown (Informal)

[Using Deep Learning to Find the Next Unicorn: A Practical Synthesis on Optimization Target, Feature Selection, Data Split and Evaluation Strategy](https://aclanthology.org/2023.finnlp-1.6) (Cao et al., FinNLP-WS 2023)

• Using Deep Learning to Find the Next Unicorn: A Practical Synthesis on Optimization Target, Feature Selection, Data Split and Evaluation Strategy (Cao et al., FinNLP-WS 2023)

ACL

• Lele Cao, Vilhelm von Ehrenheim, Sebastian Stan, Xiaoxue Li, and Alexandra Lutz. 2023. Using Deep Learning to Find the Next Unicorn: A Practical Synthesis on Optimization Target, Feature Selection, Data Split and Evaluation Strategy. In Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting, pages 63–73, Macao. -.