<div dir="ltr"><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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/" target="_blank"><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="margin:0cm 0cm 8pt;line-height:normal;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/" target="_blank"><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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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" target="_blank"><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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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="margin:0cm 0cm 8pt;line-height:normal;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/" target="_blank"><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/" target="_blank"><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="margin:0cm 0cm 8pt;line-height:normal;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" target="_blank"><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:18.4px;font-size:12pt;font-family:Aptos,sans-serif"></p><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:18.4px;font-size:12pt;font-family:Aptos,sans-serif"><span lang="EN-US"> </span></p></div>

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<div style="font-family:Arial,Helvetica,sans-serif"><span style="font-size:x-small">--</span></div><div><div><font size="1"><font face="Arial, Helvetica, sans-serif">Le informazioni contenute nella presente comunicazione sono di natura </font><span style="font-family:Arial,Helvetica,sans-serif">privata e come tali sono da considerarsi riservate ed indirizzate </span><span style="font-family:Arial,Helvetica,sans-serif">esclusivamente ai destinatari indicati e per le finalità strettamente </span><span style="font-family:Arial,Helvetica,sans-serif">legate al relativo contenuto. Se avete ricevuto questo messaggio per </span><span style="font-family:Arial,Helvetica,sans-serif">errore, vi preghiamo di eliminarlo e di inviare una comunicazione </span><span style="font-family:Arial,Helvetica,sans-serif">all’indirizzo e-mail del mittente.</span></font></div></div><div style="font-family:Arial,Helvetica,sans-serif"><font face="Arial, Helvetica, sans-serif" size="1">--</font></div><div style="font-family:Arial,Helvetica,sans-serif"><font size="1">The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.</font></div>