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).
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