The rapid growth of online available scientific, technical, and legal data such as patents, technical reports, articles, etc. has made the large-scale analysis and processing of such documents a crucial task. Today, scientists, patent experts, inventors, and other information professionals contribute to this data every day by publishing articles, or writing patent applications.
In order to benefit from the scientific-technical knowledge present in such documents, it has become critical that the communities related to Semantic Technologies, NLP, and Deep Learning join their forces to provide more effective and efficient solutions. This workshop, aims to provide a venue for researchers and practitioners to foster inter-disciplinary research in the areas of Semantic Technologies, NLP and Deep Learning.
We are interested in novel contributions about the following topics:
The submissions must be in English and adhere to the CEUR-WS one-column template (see Session 2: The New CEURART Style). The papers should be submitted as PDF files to EasyChair. The review process will be single-blind. Please be aware that at least one author per paper must be registered and attend the workshop to present the work.
We will consider three different submission types:
Submissions should not exceed the indicated number of pages, including any diagrams and references.
Each submission will be reviewed by three independent reviewers on the basis of relevance for the workshop, novelty/originality, significance, technical quality and correctness, quality and clarity of presentation, quality of references and reproducibility.
The accepted papers will be available on the Workshop website. The proceedings will be published in a CEUR-WS volume and consequently indexed on Google Scholar, DBLP, and Scopus.
The registration to the workshop should be done by registering to ESWC 2023.