Call for Papers

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 27th

Submission System: https://softconf.com/lrec-coling2024/finnlp-kdf2024/

Time zone: Anywhere On Earth (AOE) 

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

1. 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. 

2. 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. 

3. 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).