Cargando…
A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering
Deep learning is the crucial technology in intelligent question answering research tasks. Nowadays, extensive studies on question answering have been conducted by adopting the methods of deep learning. The challenge is that it not only requires an effective semantic understanding model to generate a...
Autores principales: | Cai, Linqin, Zhou, Sitong, Yan, Xun, Yuan, Rongdi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721247/ https://www.ncbi.nlm.nih.gov/pubmed/31531011 http://dx.doi.org/10.1155/2019/9543490 |
Ejemplares similares
-
Text Matching in Insurance Question-Answering Community Based on an Integrated BiLSTM-TextCNN Model Fusing Multi-Feature
por: Li, Zhaohui, et al.
Publicado: (2023) -
Human Activity Recognition Based on Residual Network and BiLSTM
por: Li, Yong, et al.
Publicado: (2022) -
Digitization of Handwritten Chess Scoresheets with a BiLSTM Network
por: Majid, Nishatul, et al.
Publicado: (2022) -
Network Intrusion Detection Method Based on FCWGAN and BiLSTM
por: Ma, Zexuan, et al.
Publicado: (2022) -
BJBN: BERT-JOIN-BiLSTM Networks for Medical Auxiliary Diagnostic
por: Xu, Chuanjie, et al.
Publicado: (2022)