<div dir="ltr"><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-size:24pt;font-family:"Times New Roman",serif">Knowledge and Natural Language Processing Track @ ACM SAC 2027</span></b></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-size:18pt;font-family:"Times New Roman",serif">Aim and Scope</span></b></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">The Knowledge and Natural
Language Processing (KNLP) Track at the ACM Symposium on Applied Computing
investigates methods and applications at the intersection of <b>Knowledge
Engineering</b> and <b>Natural Language Processing</b>, with particular
emphasis on approaches that combine these two areas.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">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.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-size:18pt;font-family:"Times New Roman",serif">Topics of Interest</span></b></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Topics of interest
include, but are not limited to, the following.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif">Natural
Language Processing</span></b></p><ul type="disc" style="margin-bottom:0cm">
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">NLP
methods for knowledge extraction</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">NLP for ontology population and ontology
learning</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Sentiment analysis and opinion mining for
knowledge-based applications</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Interplay between natural language and
ontologies</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">NLP for
explainable knowledge</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Machine translation techniques for
multilingual knowledge</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">NLP for
the Web</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Bias detection and mitigation in small and
large language models</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Interaction between small or large language
models and knowledge</span></li>
</ul><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif">Knowledge</span></b></p><ul type="disc" style="margin-bottom:0cm">
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Knowledge-enhanced
NLP</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Knowledge
for information retrieval</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Knowledge-based sentiment analysis and
opinion mining</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Combining knowledge and deep learning for
NLP</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Knowledge
technologies for the Web</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Knowledge-enhanced
agentic reasoning</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Agent reasoning over knowledge graphs and
ontologies</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Knowledge-based
agent personalization</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Linked
Data for NLP</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Knowledge-based
natural language explainability</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Language-model-enhanced ontology and
knowledge engineering methodologies and tools</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Language-model-based agents for knowledge
extraction, reasoning, and management</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Ontology evaluation using small and large
language models</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Ontological knowledge representation and
memorization in language models</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Knowledge-based techniques for language
models, including Retrieval-Augmented Generation, fact-checking, and bias
mitigation</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Question answering over knowledge graphs
using small and large language models</span></li>
</ul><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-size:13.5pt;font-family:"Times New Roman",serif">Real-World Applications Exploiting Knowledge and NLP</span></b></p><ul type="disc" style="margin-bottom:0cm">
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Knowledge and NLP systems for Big Data
scenarios</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Knowledge and NLP technologies supporting a
diverse, equitable, and inclusive society</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Deployment and evaluation of Knowledge and
NLP systems in domains such as:</span></li>
<ul type="circle" style="margin-bottom:0cm">
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Digital
Humanities and Social Sciences</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">eGovernment
and public administration</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:"Times New Roman",serif">Life
sciences, healthcare, and medicine</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">News, media, and data-streaming
environments</span></li>
</ul>
</ul><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-size:18pt;font-family:"Times New Roman",serif">Paper Submission</span></b></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">We invite original
research papers and experience reports addressing the topics listed above.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">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.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">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 <b>double-blind
peer-review process</b> in accordance with ACM SAC regulations.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Submissions to the <b>Student
Research Competition (SRC)</b> are also welcome. Prospective authors should
consult the SAC 2027 SRC page for eligibility requirements and submission
instructions.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-size:18pt;font-family:"Times New Roman",serif">Submission
Policy</span></b></p><ul type="disc" style="margin-bottom:0cm">
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">All papers must initially be submitted as <b>regular
papers</b>. There is no separate submission category for poster papers.</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Papers will be evaluated according to their
originality, technical contribution, presentation quality, and relevance
to the Knowledge and Natural Language Processing Track.</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">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.</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Although there is no formal minimum page
requirement, submissions shorter than <b>four full pages</b> that do not
demonstrate a substantial contribution may be desk-rejected without
external review.</span></li>
</ul><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-size:18pt;font-family:"Times New Roman",serif">Submission
Links</span></b></p><ul type="disc" style="margin-bottom:0cm">
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-family:"Times New Roman",serif">Regular papers and SRC abstracts:</span></b><span lang="EN-US" style="font-family:"Times New Roman",serif"> submission links are available through the
</span><span style="font-family:"Times New Roman",serif"><a href="https://www.sigapp.org/sac/sac2027/"><span lang="EN-US" style="color:blue">ACM SAC 2027 website</span></a></span><span lang="EN-US" style="font-family:"Times New Roman",serif"></span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-family:"Times New Roman",serif">Author kit and templates:</span></b><span lang="EN-US" style="font-family:"Times New Roman",serif"> formatting instructions and official
templates are available through the </span><span style="font-family:"Times New Roman",serif"><a href="https://www.sigapp.org/sac/sac2027/"><span lang="EN-US" style="color:blue">ACM SAC 2027 website</span></a></span><span lang="EN-US" style="font-family:"Times New Roman",serif"></span></li>
</ul><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-size:18pt;font-family:"Times New Roman",serif">Important Dates</span></b></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Please consult the </span><span style="font-family:"Times New Roman",serif"><a href="https://www.sigapp.org/sac/sac2027/#important-dates"><span lang="EN-US" style="color:blue">official ACM SAC 2027 website</span></a></span><span lang="EN-US" style="font-family:"Times New Roman",serif"> for up-to-date deadlines and possible changes.</span></p><ul type="disc" style="margin-bottom:0cm">
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-family:"Times New Roman",serif">October 2, 2026:</span></b><span lang="EN-US" style="font-family:"Times New Roman",serif"> Regular paper and SRC abstract submission</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:"Times New Roman",serif">November
13, 2026:</span></b><span style="font-family:"Times New Roman",serif"> Author notification</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-family:"Times New Roman",serif">November 28, 2026:</span></b><span lang="EN-US" style="font-family:"Times New Roman",serif"> Camera-ready copies of accepted papers and
SRC submissions</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:"Times New Roman",serif">December
5, 2026:</span></b><span style="font-family:"Times New Roman",serif"> Author registration deadline</span></li>
<li class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-family:"Times New Roman",serif">April 5–9, 2027:</span></b><span lang="EN-US" style="font-family:"Times New Roman",serif"> Knowledge and Natural Language Processing
Track at ACM SAC 2027</span></li>
</ul><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">All deadlines follow the
time zone specified on the official conference website.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-US" style="font-size:18pt;font-family:"Times New Roman",serif">Further Information</span></b></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">For further information,
please visit the </span><span style="font-family:"Times New Roman",serif"><a href="https://knlp.fbk.eu/"><span lang="EN-US" style="color:blue">Knowledge and Natural Language
Processing Track website</span></a></span><span lang="EN-US" style="font-family:"Times New Roman",serif"> and
the </span><span style="font-family:"Times New Roman",serif"><a href="https://www.sigapp.org/sac/sac2027/"><span lang="EN-US" style="color:blue">ACM SAC 2027 conference website</span></a></span><span lang="EN-US" style="font-family:"Times New Roman",serif">.</span></p><p class="MsoNormal" style="line-height:normal;margin:0cm 0cm 8pt;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US" style="font-family:"Times New Roman",serif">Questions may be
addressed to the </span><span style="font-family:"Times New Roman",serif"><a href="mailto:knlp@fbk.eu"><span lang="EN-US" style="color:blue">KNLP Track Co-Chairs</span></a></span><span lang="EN-US" style="font-family:"Times New Roman",serif">.</span></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:115%;font-size:12pt;font-family:Aptos,sans-serif">
</p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:115%;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US"> </span></p></div>
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