Welcome to the home page of the ECARLE research project.
The main goal of ECARLE (Exploitation of Cultural Assets with computer-assisted Recognition, Labeling and meta-data Enrichment) is to create an innovative information documentation application that will give organizations and libraries the opportunity to enrich their already digitized material with additional metadata with minimal effort, thus improving its functionality, reusability and usability as well as its optimal distribution to the general public and the specialized researcher alike.More Info
In the context of the ECARLE project, we developed a named entity recognition model to automatically recognize entities in Greek texts of the 19th century, aiming to semantically enrich digital d...
For the purposes of the international conference Qurator-2021 (Conference on Digital Curation Technologies) the team of DataScouting in collaboration with the School of Philology of the Aristotle...
Relation Extraction (RE) aims to detect semantic relationships between entity pairs in natural texts and has proven to be crucial in various natural language processing (NLP) applications, includ...
Semantic indexing as an information extraction problem, aims to assign semantic concepts to documents in natural language. In literature, this is an important process since it enables the works o...
Relation Extraction (RE) aims to detect semantic relations between entity pairs in natural texts. Although it has proven to be crucial in various natural language processing (NLP) applications, i...
Encoding meaningful semantic relationships in literary texts is almost as difficult as defining and identifying them. Defining the types and the components of semantic relationships that can be e...