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://preview.aclanthology.org/icon-24-ingestion/2023.finnlp-1.8/
- DOI:
- 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 2023)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2023.finnlp-1.8.pdf