End-to-End Sequence Labeling via Convolutional Recurrent Neural Network with a Connectionist Temporal Classification Layer
- DOI
- 10.2991/ijcis.d.200316.001
- Published
- 2020
- Container
- International Journal of Computational Intelligence Systems
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2991/ijcis.d.200316.001,
title = {End-to-End Sequence Labeling via Convolutional Recurrent Neural Network with a Connectionist Temporal Classification Layer},
author = {Xiaohui Huang and Lisheng Qiao and Wentao Yu and Jing Li and Yanzhou Ma},
year = {2020},
journal = {International Journal of Computational Intelligence Systems},
doi = {10.2991/ijcis.d.200316.001},
url = {https://doi.org/10.2991/ijcis.d.200316.001}
}RIS
TY - JOUR TI - End-to-End Sequence Labeling via Convolutional Recurrent Neural Network with a Connectionist Temporal Classification Layer AU - Xiaohui Huang AU - Lisheng Qiao AU - Wentao Yu AU - Jing Li AU - Yanzhou Ma PY - 2020 JO - International Journal of Computational Intelligence Systems DO - 10.2991/ijcis.d.200316.001 UR - https://doi.org/10.2991/ijcis.d.200316.001 ER -
APA
Huang, X., Qiao, L., Yu, W., Li, J., & Ma, Y. (2020). End-to-End Sequence Labeling via Convolutional Recurrent Neural Network with a Connectionist Temporal Classification Layer. International Journal of Computational Intelligence Systems. https://doi.org/10.2991/ijcis.d.200316.001
Source records
- crossref · retrieved 2026-11-06T16:47:54.487Z