Chinese Mathematical Knowledge Entity Recognition Based on Linguistically Motivated Bidirectional Encoder Representation from Transformers
We assessed whether constructing a mathematical knowledge graph for a knowledge question-answering system or a course recommendation system, Named Entity Recognition (NER), is indispensable. The accuracy of its recognition directly affects the actual performance of these subsequent tasks. In order t...
Saved in:
Main Authors: | Wei Song, He Zheng, Shuaiqi Ma, Mingze Zhang, Wei Guo, Keqing Ning |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/16/1/42 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III
by: Mingzhang Pan, et al.
Published: (2025-01-01) -
Secure Image Reconstruction using Deep Learning-based Autoencoder with Integrated Encryption Layers
by: Wurood Abd Ali
Published: (2024-12-01) -
Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model
by: Ram Chandra Bhushan, et al.
Published: (2025-01-01) -
A Novel and Effective Model for Automatic Modulation Classification Prediction Based on Multi-BIGRU, Multi-Encoder, and Hyper-Cross
by: Jianzheng Lin
Published: (2025-01-01) -
Disruption of the CRF1 receptor eliminates morphine-induced sociability deficits and firing of oxytocinergic neurons in male mice
by: Alessandro Piccin, et al.
Published: (2025-02-01)