Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents

Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents

Recent deep learning approaches have shown promising results for named entity recognition (NER). A reasonable assumption for training robust deep learning models is that a sufficient amount of high-quality annotated training data is available. However, in many real-world scenarios, labeled training...

Full description

Bibliographic Details
Main Authors: Sumam Francis, Jordy Van Landeghem, Marie-Francine Moens
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Information
Subjects:
deep learning
entity extraction
named entity recognition
transfer learning
fine-tuning
minimum training data
Online Access:https://www.mdpi.com/2078-2489/10/8/248

Internet

https://www.mdpi.com/2078-2489/10/8/248

Similar Items