The RegNLP 2025 Workshop will take place on January 20th, 2025, in conjunction with the COLING 2025 conference in Abu Dhabi, UAE.

Regulatory documents are foundational to governance, compliance, and legal frameworks across various sectors. However, the sheer complexity, volume, and constantly evolving nature of these documents present significant challenges. To address these, the field of Natural Language Processing (NLP) is increasingly being harnessed to develop tools and methodologies that enable the effective management, analysis, and utilization of regulatory content.

This workshop seeks to bring together researchers and practitioners from NLP, legal informatics, compliance, and related fields to discuss the latest advancements and challenges in regulatory NLP. The focus will be on innovative methods for document parsing, entity recognition, automated compliance checking, and other applications critical to navigating the intricate landscape of regulatory requirements. We will explore how NLP can be adapted to the specialized language and context of regulatory texts and how it can be employed to enhance the accuracy, efficiency, and reliability of regulatory processes.

By fostering collaboration and knowledge exchange, RegNLP 2025 aims to build a community dedicated to advancing the application of NLP in the regulatory domain and to identify promising directions for future research.

===Important Dates===

Paper Submission Deadline: November 5, 2024
Notification of Acceptance: December 3, 2024
Camera-Ready Papers Due: December 10, 2024
Workshop Date: January 20, 2025

===Submission Topics===

We invite submissions of original and high-quality research papers on topics related to the application of NLP in regulatory contexts, including but not limited to:

-Applications of NLP to Regulatory Tasks:
--Compliance monitoring and management
--Risk assessment and regulatory reporting
--Interpretation and classification of regulatory changes
--Summarization of regulatory documents for decision-making
--Creation of domain-specific lexical resources

-Adapting NLP Methods for Regulatory Data:
--Information retrieval and anomaly detection
--Clustering and multimodality analysis
--Entity recognition, linking, and disambiguation
--Syntax: Tagging, chunking, and parsing
--Dialogue and discourse analysis
--Text summarization and relation extraction
--Question answering using regulatory data

-Tasks and Resources:
--New regulatory tasks and datasets for NLP
--Evaluation frameworks for regulatory NLP tasks

-Demos:
--Systems and software solutions utilizing NLP for regulatory text processing

-Industrial Research:
--Case studies of industrial applications in regulatory compliance
--Research involving proprietary regulatory data

-Interdisciplinary Position Papers:
--The role of NLP in the regulatory landscape
--Reflections on the use of Large Language Models (LLMs) in regulatory contexts
--Legal and ethical considerations in regulatory data processing

===More Details===

For more information about the workshop, please visit our website: https://regnlp.github.io/

===Organization===

Workshop Chairs:

Tuba Gokhan - MBZUAI
Kexin Wang - UKP Lab, Technical University of Darmstadt
Iryna Gurevych - UKP Lab, Technical University of Darmstadt & MBZUAI
Ted Briscoe - MBZUAI