Dear Colleagues,

We are excited to announce the launch of the ACL Special Interest Group on Economic and Financial Natural Language Processing (SIG-FinTech)! To learn more about SIG-FinTech, we invite you to visit our official website: https://sigfintech.github.io/

We are also excited to share that the next FinNLP workshop will be held in conjunction with EMNLP 2025, taking place from November 5–9, 2025, in Suzhou, China. Stay tuned for more details—we will share updates soon!

*As part of this event, we are now accepting shared task proposals for FinNLP@EMNLP-2025. Details about the call for proposals can be found below and on our website: https://sigfintech.github.io/fineval.html https://sigfintech.github.io/fineval.html* *Submission Deadline: January 31, 2025*

We warmly encourage you to join us as shared task organizers. Feel free to contact us if you have any questions.

Best regards, Chung-Chi --- 陳重吉 (Chung-Chi Chen), Ph.D. Researcher Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan E-mail: c.c.chen@acm.org Website: https://nlpfin.github.io/

FinEval-Proposal-2025: Financial Information Access and Evaluation Suzhou, China, November 5-9, 2025 Conference website https://sigfintech.github.io/fineval.html Submission link https://easychair.org/conferences/?conf=finevalproposal2025Financial Information Access and Evaluation (FinEval)

EMNLP-2025, Nov. 5th-9th, 2025, Suzhou, China

Shared tasks are collaborative initiatives where researchers and practitioners work together to address a common challenge using shared datasets and evaluation metrics. These tasks foster competition, collaboration, and advancement within the field, playing a significant role in both academic and industry communities. FinEval provides a venue for the community to share valuable insights and inspiration. Every year, we will call for proposals for the next edition of FinEval, which is collocated with the FinNLP workshop.

*Call for Shared Task Proposal*

We encourage submissions for tasks that test systems on financial text analysis, with a particular focus on cross-lingual, application-oriented tasks, and novel uses of NLP in finance. Tasks for non-English languages and cross-domain applications are welcome.

*Proposal Criteria*

Your task proposal will be evaluated on:

- *Novelty:* Is the task addressing a unique or under-explored problem in financial NLP? - *Interest:* Will the task attract broad participation? - *Data Quality:* Is the data collection plan robust, with high inter-annotator agreement and appropriate licensing? - *Evaluation:* Is the evaluation methodology rigorous, and will it inspire future research? - *Impact:* What long-term impact will this task have on financial NLP? - *Ethics:* Data should avoid PII and adhere to ethical guidelines, including privacy compliance and ethical data use.

*Task Organization*

Organizers should be prepared to:

- Ensure data quality and licensing, addressing ethical and security concerns. - Provide format checkers, baseline systems, and evaluation tools for participants. - Manage a competition platform (e.g., CodaLab) and maintain communication channels. - Write and present a task description paper at the FinEval session in FinNLP workshop. - Organize and review participant submissions and related documentation.

*Organizer Roles*

- *Lead Organizer:* Oversees the task, ensuring timely completion of deliverables. - *Co-Organizers:* Assist with data preparation, evaluation, and participant communication. - *Advisory Organizers:* Provide guidance, not necessarily engaged in daily tasks.

Note: A minimum of two organizers is required per task. Single-organizer submissions will not be accepted.

*Submission Guidelines*

Task proposals should be in PDF format, following the ACL Template https://github.com/acl-org/acl-style-files, and must be no longer than 4 pages (plus references). Include the following sections:

- *Overview:* Summary, community interest, and anticipated impact. - *Data & Resources:* Data sources, copyright details, data quantity, quality assurance, and ethical considerations. - *Pilot Task:* (recommended) Results and insights from initial studies. - *Evaluation:* Clear evaluation methodology and criteria. - *Task Reruns:* If a rerun, provide justification and expected impact. - *Task Organizers:* Names, affiliations, contact details, and relevant experience.

*Important Dates*

- *Task proposals due: *31 January 2025 - *Task selection notification: *20 February 2025 - *Sample data ready: *15 March 2025 - *Training data ready: *1 May 2025 - *Evaluation data ready: *1 June 2024 - *Evaluation start: *10 July 2025 - *Evaluation end: *31 July 2025 - *Paper submission: *31 Augest 2025 - *Notification to authors: *15 September 2025 - *Camera-ready papers due: *25 September 2025 - *FinNLP Workshop: *EMNLP-2025