Aim & Scope
Aim of the Knowledge and Natural Language Processing (KNLP) track at ACM SAC is to investigate techniques and application of knowledge engineering and natural language processing, two extremely interdisciplinary and lively research areas at the core of Artificial Intelligence. In particular, the track welcomes contributions combining and complementing methods and approaches from both areas.
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 Multi-lingual Knowledge
NLP for the Web
(Large) Language Models 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
RAG and Knowledge injection for Language Models
Applications
Real-world applications that exploit Knowledge and NLP
Knowledge and NLP Systems for Big Data scenarios
Knowledge and NLP technology for 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 using the submission link on the SAC 2025 website (https://www.sigapp.org/sac/sac2025/). 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 2025 website for details).
Full papers are limited to 8 pages, in camera-ready format, included in the registration fee. Authors have the option to include up to two (2) extra pages (paying an extra charge).
Posters are limited to 2 pages, in camera-ready format, included in the registration fee. Authors have the option to include only one (1) extra page (paying an extra charge).
SRC Abstracts are limited to 3 pages, in camera-ready format, included in the registration fee. No extra pages are allowed.
Paper selection is based on originality, technical contribution, presentation quality, and relevance to the Knowledge and Natural Language Processing Track. Some papers may be accepted as posters.
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.
Important Dates
Author deadline for submissions: September 20, 2024
Author notification of acceptance: October 30, 2024
Author camera ready and registration due: November 29, 2024
Track Co-Chairs
Patrizio Bellan, Fondazione Bruno Kessler (FBK)
Marco Bombieri, Università degli Studi di Verona
Mauro Dragoni, Fondazione Bruno Kessler (FBK)
Marco Rospocher, Università degli Studi di Verona
Programme Committee
TBA
General Inquiries
For further information, please visit SAC Knowledge and Natural Language Processing Track (https://knlp-sac.github.io/2025/) and SAC 2024 conference websites (https://www.sigapp.org/sac/sac2025/) or feel free to contact the Track Co-Chairs at knlp@fbk.eu .