Dear colleagues,

We are glad to share the second Call for Paper of the Joint Workshop of the 7th Financial Technology and Natural Language Processing (FinNLP) and the 5th Knowledge Discovery from Unstructured Data in Financial Services (KDF) at LREC-COLING-2024. This workshop aims at discussing NLP for financial applications and knowledge discovery from financial data. *The submission deadline is March 1st, 2024, and here is the Submission System: https://softconf.com/lrec-coling2024/finnlp-kdf2024/ https://softconf.com/lrec-coling2024/finnlp-kdf2024/*

In addition to the main track, we will have two keynote talks provided by Dr. James Zhang (Ant Group) and Prof. Diyi Yang (Stanford). Besides, we also have a shared task related to ESG (environmental, social, and corporate governance). Please visit our website for more details: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-kdf-2024/home

We look forward to receiving your submissions and welcoming you to join FinNLP-KDF.

Best Regards, FinNLP-KDF organizers

*Call for Paper - FinNLP-KDF*

*Topics of Interest*We invite submissions of original contributions on methods, theories, applications, and systems on artificial intelligence, machine learning, natural language processing & understanding, big data, statistical learning, data analytics, and deep learning, with a focus on knowledge discovery in the financial services domain. The scope of the workshop includes, but is not limited to, the following areas:

- Representation learning, and distributed representation learning and encoding in natural language processing for financial document - Language modeling on financial corpora including tabular and numerical data, and multi-modal modeling; large language models (LLMs) and applications for finance - Graph representation learning, mining learning on graph structures from financial data - Multi-source knowledge integration and fusion, and knowledge alignment and integration from heterogeneous data - Synthetic or genuine financial datasets and benchmarks for baseline models - Transfer learning applications for financial data, knowledge distillation as a method for compression of pre-trained models or adaptation to financial datasets - Search and question answering systems designed for financial corpora - Event discovery from alternative data and impact on organization equity price - Environmental, social, governance (ESG) event discovery, evaluation, and impact assessment

*Submission Details*

- Submission Deadline: March 1st, 2024 - Paper Notification: March 20th - Camera-Ready Deadline: March 25th - FinNLP-KDF-2024: May 20, 2024

Accepted papers proceedings will be published at ACL Anthology.

*Format*

- The LREC-COLING template MUST be used for your submission(s). - Long Paper: May consist of up to 8 pages of content, plus unlimited pages for references and appendix. - Short Paper and Demo Paper: May consist of up to 4 pages of content, plus unlimited references and appendix.

*Policies*

- The reviewing process will be double-blind for Long and Short Paper, and single-blind for Demo Paper. Submissions must be in electronic form using the FinNLP-KDF-2024 paper submission link above. - At least one author of each accepted paper should register and present their work (either online or in-person) in FinNLP-KDF-2024. Papers with “No Show” may be redacted. Authors will be required to agree to this requirement at the time of submission. - When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).