- Anthology ID:
- 2025.finnlp-2.10
- Volume:
- Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing
- Month:
- November
- Year:
- 2025
- Address:
- Suzhou, China
- Editors:
- Chung-Chi Chen, Genta Indra Winata, Stephen Rawls, Anirban Das, Hsin-Hsi Chen, Hiroya Takamura
- Venue:
- FinNLP
- SIG:
- SIGFinTech
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 148–166
- Language:
- URL:
- https://preview.aclanthology.org/more-markup/2025.finnlp-2.10/
- DOI:
- 10.18653/v1/2025.finnlp-2.10
- Cite (ACL):
- Moustafa Amin and Matthias Aßenmacher. 2025. Do Companies Reveal Their Own Fraud? - A Novel Data Set for Fraud Detection Based on 10-K Reports. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 148–166, Suzhou, China. Association for Computational Linguistics.
- Cite (Informal):
- Do Companies Reveal Their Own Fraud? - A Novel Data Set for Fraud Detection Based on 10-K Reports (Amin & Aßenmacher, FinNLP 2025)
- PDF:
- https://preview.aclanthology.org/more-markup/2025.finnlp-2.10.pdf