Improve on Entity Recognition Method Based on BiLSTM-CRF Model for the Nuclear Technology Knowledge Graph
Author:
Affiliation:
1. Sichuan University of Science & Engineering,School of Computer Science and Engineering,Yi Bin,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9904023/9904007/09904215.pdf?arnumber=9904215
Reference20 articles.
1. A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2. Bidirectional LSTM-CRF models for sequence tagging;huang,2015
3. KI-BERT: Infusing knowledge context for better language and domain understanding;faldu,2021
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1. Multi-level semantic enhancement based on self-distillation BERT for Chinese named entity recognition;Neurocomputing;2024-06
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