FinNLP 2027 — The 12th Workshop on Financial Technology and Natural Language Processing

About

The FinNLP workshop, as the annual event of ACL SIG-FinTech, focuses on applying NLP, Machine Learning, and Large Language Models to finance, economics, and law, aiming to drive interdisciplinary innovation and address unique challenges in these fields. Since 2019, FinNLP has served as a bridge between AI and NLP communities by collocating with major conferences. Its proceedings are available on the ACL Anthology.

The 12th edition will be held at ACL 2027 in Kyoto, Japan. We also host shared tasks in the collocated event, FinEval. Please refer to the Call for Challenges for more details. In 2027, FinNLP joins forces with several teams that have been organizing events in the FinAI and FinNLP communities, to curate a richer workshop and deeper exchange between financial AI and NLP.

// For Researchers

Call for Papers →

Long, short, and demo paper submissions. Published in the ACL Anthology.

// For Practitioners

Call for Challenges →

FinEval 2027 shared tasks: call for task proposals.

Topics of Interest

Financial, economic, and legal domains provide a distinctive testbed for the next generation of NLP and AI. Real-world financial information spans long documents, numerical tables, charts, news, regulatory filings, earnings calls, and rapidly evolving market signals; financial markets are multilingual, dynamic, and interconnected; and LLM agents, multi-agent systems, and world models are moving financial AI from static prediction toward interactive reasoning, simulation, and long-horizon decision making. We invite original research on these challenges across NLP, finance, economics, and law. Topics include, but are not limited to:

Financial, economic, and legal language models and foundation models
Numerical, tabular, long-context, and multimodal understanding and reasoning
Multilingual, cross-lingual, low-resource, and domain-adaptive financial NLP
LLM agents and multi-agent systems for financial and economic applications
World models, market simulation, planning, memory, and sequential decision making
Tool use, retrieval-augmented generation, and multi-source knowledge integration
Knowledge graphs and structured representation learning for financial data
Financial search, question answering, information extraction, and document intelligence
Financial forecasting, event discovery, trading, portfolio management, and risk analysis
Economic and market modeling, behavioral simulation, and decision support
ESG analysis, sustainability assessment, and impact evaluation
Financial regulation, compliance monitoring, legal reasoning, auditing, and regulatory reporting
Synthetic data, data augmentation, privacy-preserving learning, and data quality
Benchmarks and evaluation of financial models and agents
Interpretability, fairness, privacy, security, safety, responsible AI, and governance
Real-world systems, applications, and demonstrations from financial institutions and industry

Important Dates

Submission system opens	TBA
Direct paper submission deadline	TBA
Pre-reviewed ARR commitment deadline	TBA
Author notification	TBA
Camera-ready deadline	TBA
FinNLP-2027 @ ACL (workshop day)	August 18 or 19, 2027 (TBA)
Location	Kyoto, Japan