Sentence Classification for Investment Rules Detection

Youness Mansar, Sira Ferradans


Abstract
In the last years, compliance requirements for the banking sector have greatly augmented, making the current compliance processes difficult to maintain. Any process that allows to accelerate the identification and implementation of compliance requirements can help address this issues. The contributions of the paper are twofold: we propose a new NLP task that is the investment rule detection, and a group of methods identify them. We show that the proposed methods are highly performing and fast, thus can be deployed in production.
Anthology ID:
W18-3106
Volume:
Proceedings of the First Workshop on Economics and Natural Language Processing
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venues:
ACL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
44–48
Language:
URL:
https://aclanthology.org/W18-3106
DOI:
10.18653/v1/W18-3106
Bibkey:
Cite (ACL):
Youness Mansar and Sira Ferradans. 2018. Sentence Classification for Investment Rules Detection. In Proceedings of the First Workshop on Economics and Natural Language Processing, pages 44–48, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Sentence Classification for Investment Rules Detection (Mansar & Ferradans, 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-3106.pdf