Cfp - KNLP at SAC 2026 Deadline Approaching Oct. 10
Knowledge and Natural Language Processing Track @ ACM-SAC
Aim of the Knowledge and Natural Language Processing (KNLP) track at ACM SAC is to investigate techniques and application of knowledge engineering and natural language processing, focusing in particular on approaches combining them. This is an extremely interdisciplinary emerging research area, at the core of Artificial Intelligence, combining and complementing the scientific results from Natural Language Processing and Knowledge Representation and Reasoning.
Topics of interest include, but are not limited to:
- Natural Language Processing
- NLP tasks for Knowledge Extraction
- NLP for Ontology Population and Learning
- Sentiment Analysis and Opinion Mining for Knowledge Applications
- Interplay between Language and Ontologies
- NLP for Explainable Knowledge
- Machine Translation techniques for Multilingual Knowledge
- NLP for the Web
- Bias detection and mitigation in small/large LM
- (Small/Large) LM and Knowledge
- Knowledge
- Knowledge to improve NLP tasks
- Knowledge for Information Retrieval
- Knowledge-based Sentiment Analysis and Opinion Mining
- Combining Knowledge and Deep Learning for NLP
- Knowledge for Text Summarization and Generation
- Knowledge for Persuasion
- Knowledge-based Machine Translation
- Knowledge for the Web
- Linked Data for NLP
- Knowledge-based NL Explainability
- LM-enhanced ontology and knowledge engineering methodologies and tools
- LM-based agent for knowledge extraction, reasoning, and management
- Ontology evaluation via small/large LMs
- (Ontological) knowledge memorization in LMs
- Knowledge-based techniques for LMs (Retrieval Augmented Generation based approaches, fact-checking, and bias mitigation)
- Question answering over knowledge graphs via small/large LMs
- Real-world applications that exploit Knowledge and NLP
- Real-world applications that exploit Knowledge and NLP
- Knowledge and NLP Systems for Big Data scenarios
- Knowledge and NLP technology for a diverse, equitable, and inclusive society
- Deployment of Knowledge and NLP Systems in specific domains, such as:
- Digital Humanities and Social Sciences
- eGovernment and public administration
- Life sciences, health, and medicine
- News and Data Streaming
Research papers and experience reports related to the above topics are solicited. Submissions must not have been published or be concurrently considered for publication elsewhere.
Important Dates
September 26, 2025 October 10, 2025: Regular Paper & SRC Abstract Submission
October 21, 2025 November 21, 2025: Author Notification
March 23-27, 2026: Knowledge and Natural Language Processing session at SAC 2026
More details at knlp-sac.github.io/2026
Submission links
Submission links: regular papers or SRC abstracts
Author kit and templates: details