Bert-Enhanced Text Graph Neural Network for Classification
Text classification is a fundamental research direction, aims to assign tags to text units. Recently, graph neural networks (GNN) have exhibited some excellent properties in textual information processing. Furthermore, the pre-trained language model also realized promising effects in many tasks. How...
Guardado en:
Autores principales: | Yiping Yang, Xiaohui Cui |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/431c920053864371a6b3ab0e37f1febe |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Personal Interest Attention Graph Neural Networks for Session-Based Recommendation
por: Xiangde Zhang, et al.
Publicado: (2021) -
Inferring Users’ Social Roles with a Multi-Level Graph Neural Network Model
por: Chunrui Zhang, et al.
Publicado: (2021) -
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks
por: Andrei Velichko, et al.
Publicado: (2021) -
Benchmark and application of unsupervised classification approaches for univariate data
por: Maria El Abbassi, et al.
Publicado: (2021) -
Solving quasiparticle band spectra of real solids using neural-network quantum states
por: Nobuyuki Yoshioka, et al.
Publicado: (2021)