DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Yancheng Liang, Jiajie Zhang, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jiaoyao Zhang, Yongyan Liu, Yi Wu
- Anthology ID:
- 2023.finnlp-1.8
- Volume:
- Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting
- Month:
- 20 August
- Year:
- 2023
- Address:
- Macao
- Editors:
- Chung-Chi Chen, Hiroya Takamura, Puneet Mathur, Remit Sawhney, Hen-Hsen Huang, Hsin-Hsi Chen
- Venues:
- FinNLP | WS
- SIG:
- Publisher:
- -
- Note:
- Pages:
- 81–93
- Language:
- URL:
- https://aclanthology.org/2023.finnlp-1.8
- DOI:
- Bibkey:
- Cite (ACL):
- Yancheng Liang, Jiajie Zhang, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jiaoyao Zhang, Yongyan Liu, and Yi Wu. 2023. DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data. In Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting, pages 81–93, Macao. -.
- Cite (Informal):
- DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data (Liang et al., FinNLP-WS 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.finnlp-1.8.pdf
Export citation
@inproceedings{lambruschini-etal-2023-derisk,
title = "{D}e{R}isk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data",
author = "Liang, Yancheng and
Zhang, Jiajie and
Li, Hui and
Liu, Xiaochen and
Hu, Yi and
Wu, Yong and
Zhang, Jiaoyao and
Liu, Yongyan and
Wu, Yi",
editor = "Chen, Chung-Chi and
Takamura, Hiroya and
Mathur, Puneet and
Sawhney, Remit and
Huang, Hen-Hsen and
Chen, Hsin-Hsi",
booktitle = "Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting",
month = "20 " # aug,
year = "2023",
address = "Macao",
publisher = "-",
url = "https://aclanthology.org/2023.finnlp-1.8",
pages = "81--93",
}
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%0 Conference Proceedings %T DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data %A Liang, Yancheng %A Zhang, Jiajie %A Li, Hui %A Liu, Xiaochen %A Hu, Yi %A Wu, Yong %A Zhang, Jiaoyao %A Liu, Yongyan %A Wu, Yi %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 lambruschini-etal-2023-derisk %U https://aclanthology.org/2023.finnlp-1.8 %P 81-93
Markdown (Informal)
[DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data](https://aclanthology.org/2023.finnlp-1.8) (Liang et al., FinNLP-WS 2023)
- DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data (Liang et al., FinNLP-WS 2023)
ACL
- Yancheng Liang, Jiajie Zhang, Hui Li, Xiaochen Liu, Yi Hu, Yong Wu, Jiaoyao Zhang, Yongyan Liu, and Yi Wu. 2023. DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data. In Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting, pages 81–93, Macao. -.