OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology

• Published in: Big data and cognitive computing Vol. 4; no. 4; p. 31
• Main Authors: Makris, Christos, Simos, Michael Angelos
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2020
• Subjects: Accuracy; Annotations; Approximation; Artificial intelligence; Concept formation; Context; Deep learning; Encyclopedias; Graphical representations; Information retrieval; Knowledge acquisition; Knowledge representation; Machine learning; Methodology; Model accuracy; named entity disambiguation; Natural language processing; neural networks; ontologies; Ontology; Polysemy; Segmentation; Semantics; Short term memory; text annotation; Training; Unstructured data; Wikification; Word sense disambiguation

Semantic representation of unstructured text is crucial in modern artificial intelligence and information retrieval applications. The semantic information extraction process from an unstructured text fragment to a corresponding representation from a concept ontology is known as named entity disambig...