Multi-Lingual ESG Issue Identification (ML-ESG)
Shared Task
Introduction
In FinNLP-2022, we proposed a FinSim4-ESG shared task, which is related to the topic of environmental, social, and corporate governance (ESG). To continue exploring ESG topics, FinNLP-2023 shares a new dataset for the FinNLP community to explore the multi-lingual ESG issue identification task. Based on the MSCI ESG rating guidelines, ESG-related news can be classified into 35 ESG key issues. Thus, the challenge in the proposed task is ESG issue identification. The system needs to be aware of the ESG issues of each article. We use multilingual news articles as the raw material, and conduct annotation on the articles. The target languages include English, Chinese, and French. Note that, in Chinese dataset, we merge issues in SASB Standard into MSCI guidelines.
The overview of this shared task series (Chinese) can be found in [1].
[1] Yu-Min Tseng, Chung-Chi Chen, Hen-Hsen Huang, and Hsin-Hsi Chen. 2023. DynamicESG: A Dataset for Dynamically Unearthing ESG Ratings from News Articles. In Proceedings of The 32nd ACM International Conference on Information and Knowledge Management (CIKM'23).
Important Dates: Time zone: Anywhere On Earth (AOE)
Registration Open: March 23, 2023
Training set release: April 15, 2023
Test set release: May 15, 2023
System's outputs submission deadline: May 22, 2023
Release of results: May 25, 2023
Shared task paper submissions due: June 05, 2023 - Shared Task Paper Submission System: https://easychair.org/conferences/?conf=mlesg23
Camera-Ready Version of Shared Task Paper Due: Jun 15, 2023
Policies
The reviewing process will be single-blind. Accepted papers proceedings will be published at ACL Anthology.
Shared task participants will be asked to review other teams' papers during the review period.
Submissions must be in electronic form using the FinNLP-2023 paper submission software linked above.
No Show Policy: At least one author of each accepted paper *must* travel to the IJCAI venue in person. Papers with “No Show” will be redacted. Authors will be required to agree to this requirement at the time of submission.
Leaderboard
Shared Task Organizers
Chung-Chi Chen - AIRC, AIST, Japan
Yu-Min Tseng - Department of Computer Science and Information Engineering, National Taiwan University, Taiwan
Juyeon KANG - 3DS Outscale (ex Fortia)
Anaïs Lhuissier - 3DS Outscale (ex Fortia)
Min-Yuh Day - Graduate Institute of Information Management, National Taipei University
Teng-Tsai Tu - Graduate Institute of Information Management, National Taipei University
Hsin-Hsi Chen - Department of Computer Science and Information Engineering, National Taiwan University, Taiwan