[DL] Call for papers KNLP at ACM-SA

[Patrizio Bellan]

*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 <https://www.sigapp.org/sac/sac2027/>
   - *Author kit and templates:* formatting instructions and official
   templates are available through the ACM SAC 2027 website
   <https://www.sigapp.org/sac/sac2027/>

*Important Dates*

Please consult the official ACM SAC 2027 website
<https://www.sigapp.org/sac/sac2027/#important-dates> 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 <https://knlp.fbk.eu/> and the ACM SAC 2027
conference website <https://www.sigapp.org/sac/sac2027/>.

Questions may be addressed to the KNLP Track Co-Chairs <knlp at fbk.eu>.

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