Overview
The Knowledge and Natural Language Processing (KNLP) track at the upcoming ACM Symposium on Applied Computing (ACM-SAC) 2026 invites researchers to submit their papers. This track aims to explore the intersection of knowledge engineering and natural language processing, which is a rapidly evolving area within artificial intelligence. By focusing on the integration of these fields, the track seeks to highlight innovative techniques and applications that can enhance both domains.
Background & Relevance
Natural Language Processing (NLP) has become a crucial component of AI, enabling machines to understand and generate human language. As NLP continues to advance, the incorporation of knowledge representation and reasoning becomes increasingly important. This interdisciplinary approach not only enhances the capabilities of NLP systems but also opens new avenues for applications across various sectors, including healthcare, social sciences, and digital humanities. The integration of knowledge into NLP systems can lead to more effective information retrieval, sentiment analysis, and machine translation, making this track particularly relevant for researchers and practitioners alike.
Key Details
- Event: Knowledge and Natural Language Processing Track at ACM-SAC 2026
- Submission Deadline: September 26, 2025
- Submission Format: PDF using the ACM-SAC proceedings format
- Review Process: Double-blind review
- Paper Length: Minimum of four pages for review consideration; up to eight pages for accepted papers
- Poster Papers: Up to two pages for recommended acceptance
- Links: ACM-SAC 2026 | KNLP Track
Eligibility & Participation
This call for papers is open to researchers, practitioners, and students interested in the fields of knowledge engineering and natural language processing. The track encourages submissions that explore innovative methodologies, applications, and theoretical advancements in these areas. Student Research Competition (SRC) submissions are also welcome, providing a platform for emerging researchers to showcase their work.
Submission or Application Guidelines
- Prepare your paper in PDF format according to the ACM-SAC proceedings format.
- Ensure that your submission is original and not concurrently under consideration elsewhere.
- Submit your paper through the designated submission site, ensuring that authors’ names and affiliations are entered separately.
- Papers will be evaluated based on originality, technical contribution, presentation quality, and relevance to the track.
- Note that while there is no formal minimum page requirement, submissions shorter than four pages may face desk rejection without review.
More Information
The KNLP track represents a significant opportunity for researchers to contribute to the growing body of knowledge at the intersection of NLP and knowledge representation. As these fields evolve, the implications for AI applications become increasingly profound, impacting areas such as information retrieval, explainability, and data-driven decision-making. Engaging with this track can help shape the future of AI technologies and their applications in diverse domains.
Conclusion
Researchers are encouraged to explore this opportunity to contribute to the Knowledge and Natural Language Processing track at ACM-SAC 2026. This is a chance to share innovative ideas and collaborate with peers in the AI community. For further details, please visit the provided links and consider submitting your work to this important track.
Category: CFP & Deadlines
Tags: nlp, knowledge representation, acm sac, sentiment analysis, machine translation, big data, digital humanities, knowledge extraction, deep learning, explainable ai, ontology
