FinNLP2021: The 3rd Workshop on Financial Technology and Natural Language Processing Montreal, Canada, August 21-26, 2021 |
Conference website | https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp2021 |
Submission link | https://easychair.org/conferences/?conf=finnlp2021 |
Submission deadline | May 21, 2021 |
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 third workshop on Financial Technology and Natural Language Processing (FinNLP 2021) provides a forum where international participants share knowledge on applying NLP to the FinTech domain. Topics of interest include but 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, FinSim-2 is co-located. FinSim-2 focuses on the evaluation of semantic representations by assessing the quality of the automatic classification of a given list of carefully selected terms from the Financial domain against a domain ontology. The Proceedings of FinNLP-2021 will be published at ACL Anthology.
Submission Guidelines
Submission Deadline (Extended): May 21, 2021
Notification of Acceptance: June 11, 2021
Camera-Ready Versions: June 25, 2021
Time zone: Anywhere On Earth (AOE)
Regular Paper: Papers submitted to the main track must be formatted according to IJCAI-2021 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
- Department of Computer Science and Information Engineering, National Taiwan University, Taiwan
- Hen-Hsen Huang
- Department of Computer Science, National Chengchi University, 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
- MOST Joint Research Center for AI Technology and All Vista Healthcare, Taiwan
Contact
All questions about submissions should be emailed to finnlp@nlg.csie.ntu.edu.tw