OGER++: hybrid multi-type entity recognition

OGER++: hybrid multi-type entity recognition

Abstract Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus-based disambiguation component. The anno...

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Bibliographic Details
Main Authors: Lenz Furrer, Anna Jancso, Nicola Colic, Fabio Rinaldi
Format: Article
Language:English
Published: BMC 2019-01-01
Series:Journal of Cheminformatics
Subjects:
Named entity recognition
Concept recognition
Natural language processing
Machine learning
Online Access:http://link.springer.com/article/10.1186/s13321-018-0326-3

Internet

http://link.springer.com/article/10.1186/s13321-018-0326-3

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