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
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).