Call For Paper
Important update on ACMs new open access publishing model for 2026 ACM Conferences
Starting January 1, 2026, ACM will fully transition to Open Access. All ACM publications, including those from ACM-sponsored conferences, will be 100% Open Access. Authors will have two primary options for publishing Open Access articles with ACM: the ACM Open institutional model or by paying Article Processing Charges (APCs). With over 1,800 institutions already part of ACM Open, the majority of ACM-sponsored conference papers will not require APCs from authors or conferences (currently, around 70-75%).
Authors from institutions not participating in ACM Open will need to pay an APC to publish their papers, unless they qualify for a financial or discretionary waiver. To find out whether an APC applies to your article, please consult the list of participating institutions in ACM Open and review the APC Waivers and Discounts Policy. Keep in mind that waivers are rare and are granted based on specific criteria set by ACM.
Understanding that this change could present financial challenges, ACM has approved a temporary subsidy for 2026 to ease the transition and allow more time for institutions to join ACM Open. The subsidy will offer:
- $250 APC for ACM/SIG members
- $350 for non-members
This represents a 65% discount, funded directly by ACM. Authors are encouraged to help advocate for their institutions to join ACM Open during this transition period.
This temporary subsidized pricing will apply to all conferences scheduled for 2026.
For questions related to this matter, please contact the organizing commettee of ACM SAC 2026 (and not the KNLP track chairs).
Topics of interest
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
Paper Submission
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. Papers should be submitted in PDF using the ACM-SAC proceedings format. Authors' names and affiliations should be entered separately at the submission site and not appear in the submitted papers. Each submission will be reviewed in a DOUBLE-BLIND process according to the ACM-SAC Regulations. Student Research Competition (SRC) submissions are welcome (see SAC 2026 SRC page for details).
Initial Submission Policy
- All submissions must initially be submitted as regular papers. There is no separate submission track for poster papers.
- Paper selection is based on originality, technical contribution, presentation quality, and relevance to the Knowledge and Natural Language Processing Track.
- Based on the outcome of the review process, some submissions—although technically sound—may not be accepted as regular papers due to overall acceptance rate constraints, and could be accepted as posters
Minimum Length for Review Consideration
- While there is no formal minimum page requirement, submissions of fewer than four (4) full pages that do not demonstrate substantial contributions may be subject to desk rejection without external review.
Camera-ready Page Limits
- Regular Papers (accepted for publication):
- Up to eight (8) pages are included with standard registration.
- Authors may include up to two (2) additional pages, subject to the extra page charges specified on the SAC 2026 registration website.
- The maximum allowable length is ten (10) pages.
- Poster Papers (recommended for acceptance):
- Up to two (2) pages are included with standard registration.
- One (1) additional page may be included, subject to an extra page charge specified on the SAC 2026 registration website
- The maximum allowable length is three (3) pages.
Submission links
Submission links: regular papers or SRC abstracts
Author kit and templates: details
Mandatory paper registration
Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library.
For further information, please visit the Knowledge and Natural Language Processing Track and ACM-SAC 2026 conference websites or feel free to contact the Track Co-Chairs.