Concept recognition as a machine translation problem

Concept recognition as a machine translation problem

Background: Automated assignment of specific ontology concepts to mentions in text is a critical task in biomedical natural language processing, and the subject of many open shared tasks. Although the current state of the art involves the use of neural network language models as a post-processing st...

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Bibliographic Details
Main Authors: Bada, M. (Author), Baumgartner, W.A., Jr (Author), Boguslav, M.R (Author), Hailu, N.D (Author), Hunter, L.E (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Automated assignments
Classification (of information)
Computational efficiency
Computational linguistics
Computational resources
Computer aided language translation
Concept recognition
Efficiency
Hyper-parameter
Learning algorithms
Machine learning
Machine translation
Machine translations
Named entity normalization
Named entity normalizations
Named entity recognition
Natural language processing systems
Ontology
Ontology's
Performance
State of the art
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