Cargando…
Chinese text classification by combining Chinese-BERTology-wwm and GCN
Text classification is an important and classic application in natural language processing (NLP). Recent studies have shown that graph neural networks (GNNs) are effective in tasks with rich structural relationships and serve as effective transductive learning approaches. Text representation learnin...
Autores principales: | Xu, Xue, Chang, Yu, An, Jianye, Du, Yongqiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495955/ https://www.ncbi.nlm.nih.gov/pubmed/37705631 http://dx.doi.org/10.7717/peerj-cs.1544 |
Ejemplares similares
-
A Pattern-Based Method for Medical Entity Recognition From Chinese Diagnostic Imaging Text
por: Liang, Zihong, et al.
Publicado: (2019) -
GCN-based stock relations analysis for stock market prediction
por: Zhao, Cheng, et al.
Publicado: (2022) -
Formulaic language identification model based on GCN fusing associated information
por: Meng, Fanqi, et al.
Publicado: (2022) -
Event classification from the Urdu language text on social media
por: Awan, Malik Daler Ali, et al.
Publicado: (2021) -
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model
por: Jiang, Xuchu, et al.
Publicado: (2022)