[CFP] - (R2LM) From Rules to Language Models: Comparative Performance 
Evaluation @ RANLP 2025 (Varna, Bulgaria) - 11-13 September 2025

https://r2lm2025.github.io/R2LM/

Workshop Description

Deep learning (DL) and large language models (LLMs) have driven major advances 
in natural language processing (NLP), enabling impressive performance across 
many tasks. However, they continue to face key challenges in handling complex 
linguistic phenomena such as multiword expressions, long-context reasoning, and 
robustness to adversarial inputs. In parallel, concerns remain about the 
scalability, interpretability, and domain adaptability of these models, 
particularly in applications requiring high precision, such as grammar 
checking, legal analysis, or medical NLP. These limitations have sparked 
renewed interest in rule-based and knowledge-based approaches, which often 
offer better explainability and remain competitive, especially in low-resource 
or high-stakes scenarios. 

Our workshop aims to gather contributions that deal with the following topics:

•       Role of rule-based and knowledge-based NLP methods in modern 
applications
•       Comparative analysis of rule-based, machine-learning, deep-learning and 
large language models for different NLP tasks 
•       Emerging trends in NLP research beyond deep learning and Large Language 
Models
•       Limitations and performance bottlenecks in scalability and accuracy of 
deep learning models

Submission Details

•       Long papers: up to 8 pages (excluding references)
•       Short papers: up to 4 pages (excluding references)
•       Format: ACL-style (LaTeX or MS Word)
•       Submission portal and template info available on the RANLP 2025 website

Important dates

Paper Submission Deadline: 6 July 2025
Notification of Acceptance: 31 July 2025
Workshop date: 11, 12 or 13 September 2025

Organising Committee:

Alicia Picazo-Izquierdo, University of Alicante, Spain
Ernesto Luis Estevanell-Valladares, University of Alicante, Spain
Rafael Muñoz Guillena, University of Alicante, Spain
Ruslan Mitkov, Lancaster University, UK
Raúl García Cerdá, University of Alicante, Spain
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