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 extracted from literary texts is a quite…
Category: News
New publication on relation extraction from works of literature
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, it has not yet been studied in…
New journal publication on semantic indexing of literature
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 of literature to be searched and…
Publication in IEEE Access
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, including question-answering and knowledge-base (KB) population. Typical RE…
Conference Publication at Qurator 2021
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 University of Thessaloniki and the Department of Informatics…
Named entity recognition
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 documents with cultural information, such…