FinNLP2022: The 4th Workshop on Financial Technology and Natural Language Processing Vienna, Austria, July 23-25, 2022 |
Conference website | https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2022/home |
Submission link | https://easychair.org/conferences/?conf=finnlp2022 |
FinTech is an emerging and popular topic in both financial and engineering domains, and the technology of textual information analysis is highly related to the scope of IJCAI. The fourth workshop on Financial Technology and Natural Language Processing (FinNLP 2022) provides a forum where international participants share knowledge on applying NLP to the FinTech domain. Topics of interest include but are not limited to text-based market provisioning, NLP-based investment management, crowdfunding analysis with textual data, text-oriented customer preference analysis, insurance application with textual information, NLP-based know your customer (KYC) approaches, and applications or systems for FinTech with NLP methods. Besides the regular paper submission, two shared tasks are co-located. The Proceedings of FinNLP-2022 will be published at ACL Anthology.
Submission Guidelines
Submission Deadline (Extended): May 20, 2022
Submission System: https://easychair.org/conferences/?conf=finnlp2022
Notification of Acceptance: June 3, 2022
Camera-Ready Versions: June 17, 2022
Time zone: Anywhere On Earth (AOE)
Regular Paper: Papers submitted to the main track must be formatted according to IJCAI-2022 guidelines and must be no longer than seven pages in total: six pages for the body of the paper (including all figures), plus up to one additional page with references that do not fit within the six body pages.
Poster and Demo: two pages for the main text (including all figures but excluding references), and one additional page for references.
Committees
Organizing committee
- Chung-Chi Chen
- Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan
- Hen-Hsen Huang
- Academia Sinica, Taiwan
- Hiroya Takamura
- Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan
- Hsin-Hsi Chen
- Department of Computer Science and Information Engineering, National Taiwan University, Taiwan
Contact
All questions about submissions should be emailed to finnlp@nlg.csie.ntu.edu.tw