Knowledge and Natural Language Processing Track @ ACM SAC 2027

Aim and Scope

The Knowledge and Natural Language Processing (KNLP) Track at the ACM Symposium on Applied Computing investigates methods and applications at the intersection of Knowledge Engineering and Natural Language Processing, with particular emphasis on approaches that combine these two areas.

KNLP is an emerging and highly interdisciplinary research field at the core of Artificial Intelligence. It brings together and complements scientific advances in Natural Language Processing, Knowledge Representation and Reasoning, Machine Learning, and related disciplines.

Topics of Interest

Topics of interest include, but are not limited to, the following.

Natural Language Processing

NLP methods for knowledge extraction
NLP for ontology population and ontology learning
Sentiment analysis and opinion mining for knowledge-based applications
Interplay between natural language and ontologies
NLP for explainable knowledge
Machine translation techniques for multilingual knowledge
NLP for the Web
Bias detection and mitigation in small and large language models
Interaction between small or large language models and knowledge

Knowledge

Knowledge-enhanced NLP
Knowledge for information retrieval
Knowledge-based sentiment analysis and opinion mining
Combining knowledge and deep learning for NLP
Knowledge technologies for the Web
Knowledge-enhanced agentic reasoning
Agent reasoning over knowledge graphs and ontologies
Knowledge-based agent personalization
Linked Data for NLP
Knowledge-based natural language explainability
Language-model-enhanced ontology and knowledge engineering methodologies and tools
Language-model-based agents for knowledge extraction, reasoning, and management
Ontology evaluation using small and large language models
Ontological knowledge representation and memorization in language models
Knowledge-based techniques for language models, including Retrieval-Augmented Generation, fact-checking, and bias mitigation
Question answering over knowledge graphs using small and large language models

Real-World Applications Exploiting Knowledge and NLP

Knowledge and NLP systems for Big Data scenarios
Knowledge and NLP technologies supporting a diverse, equitable, and inclusive society
Deployment and evaluation of Knowledge and NLP systems in domains such as:
Digital Humanities and Social Sciences
eGovernment and public administration
Life sciences, healthcare, and medicine
News, media, and data-streaming environments

Paper Submission

We invite original research papers and experience reports addressing the topics listed above.

Submissions must not have been previously published or be under consideration for publication elsewhere. Papers must be submitted in PDF format using the official ACM SAC proceedings template.

Authors’ names and affiliations must be entered separately in the submission system and must not appear in the submitted manuscript. All submissions will undergo a double-blind peer-review process in accordance with ACM SAC regulations.

Submissions to the Student Research Competition (SRC) are also welcome. Prospective authors should consult the SAC 2027 SRC page for eligibility requirements and submission instructions.

Submission Policy

All papers must initially be submitted as regular papers. There is no separate submission category for poster papers.
Papers will be evaluated according to their originality, technical contribution, presentation quality, and relevance to the Knowledge and Natural Language Processing Track.
Depending on the outcome of the review process and the overall acceptance-rate constraints, technically sound submissions that cannot be accepted as regular papers may be offered acceptance as posters.
Although there is no formal minimum page requirement, submissions shorter than four full pages that do not demonstrate a substantial contribution may be desk-rejected without external review.

Submission Links

Regular papers and SRC abstracts: submission links are available through the ACM SAC 2027 website
Author kit and templates: formatting instructions and official templates are available through the ACM SAC 2027 website

Important Dates

Please consult the official ACM SAC 2027 website for up-to-date deadlines and possible changes.

October 2, 2026: Regular paper and SRC abstract submission
November 13, 2026: Author notification
November 28, 2026: Camera-ready copies of accepted papers and SRC submissions
December 5, 2026: Author registration deadline
April 5–9, 2027: Knowledge and Natural Language Processing Track at ACM SAC 2027

All deadlines follow the time zone specified on the official conference website.

Further Information

For further information, please visit the Knowledge and Natural Language Processing Track website and the ACM SAC 2027 conference website.

Questions may be addressed to the KNLP Track Co-Chairs.