BERT-Based Transfer-Learning Approach for Nested Named-Entity Recognition Using Joint Labeling

Computer Science

• Named Entity Recognition 100%
• Transfer Learning 100%
• Bidirectional Encoder Representations From Transformers 100%
• Learning Approach 100%
• Annotation 33%
• External Feature 16%
• Neural Network Architecture 16%
• Conditional Random Field 16%
• Entity Recognition 16%
• External Resource 16%
• Language Modeling 16%
• Natural Language Processing 16%
• Bidirectional Long Short-Term Memory Network 16%
• Feature Extraction 16%
• Information Retrieval 16%
• Processing Task 16%

Keyphrases

• BERT Model 100%
• Nested Named Entity Recognition 100%
• Retrieval-based Question Answering 25%
• LSTM-CRF Model 25%
• Relation Extraction 25%
• Nested Entity Recognition 25%
• BiLSTM-CRF 25%