Cargando…
A Transformer-Based Hierarchical Variational AutoEncoder Combined Hidden Markov Model for Long Text Generation
The Variational AutoEncoder (VAE) has made significant progress in text generation, but it focused on short text (always a sentence). Long texts consist of multiple sentences. There is a particular relationship between each sentence, especially between the latent variables that control the generatio...
Autores principales: | Zhao, Kun, Ding, Hongwei, Ye, Kai, Cui, Xiaohui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534582/ https://www.ncbi.nlm.nih.gov/pubmed/34682001 http://dx.doi.org/10.3390/e23101277 |
Ejemplares similares
-
Quantum Variational AutoEncoder
por: Vinci, Walter
Publicado: (2018) -
Benchmarking variational AutoEncoders on cancer transcriptomics data
por: Eltager, Mostafa, et al.
Publicado: (2023) -
Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model
por: Emdadi, Akram, et al.
Publicado: (2021) -
Road-Type Classification with Deep AutoEncoder
por: Molefe, Mohale E., et al.
Publicado: (2023) -
Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design
por: Mak, Hugo Wai Leung, et al.
Publicado: (2023)