Do Companies Reveal Their Own Fraud? - A Novel Data Set for Fraud Detection Based on 10-K Reports

Moustafa Amin, Matthias A


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:
Publisher:
Association for Computational Linguistics
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Pages:
148–166
Language:
URL:
https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.10/
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Bibkey:
Cite (ACL):
Moustafa Amin and Matthias A. 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 & A, FinNLP 2025)
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https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.10.pdf