TAAM: Topic-aware abstractive arabic text summarisation using deep recurrent neural networks
- DOI
- 10.1016/j.jksuci.2022.03.026
- Published
- 2022-06
- Container
- Journal of King Saud University - Computer and Information Sciences
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jksuci.2022.03.026,
title = {TAAM: Topic-aware abstractive arabic text summarisation using deep recurrent neural networks},
author = {Dimah Alahmadi and Arwa Wali and Sarah Alzahrani},
year = {2022},
journal = {Journal of King Saud University - Computer and Information Sciences},
doi = {10.1016/j.jksuci.2022.03.026},
url = {https://doi.org/10.1016/j.jksuci.2022.03.026}
}RIS
TY - JOUR TI - TAAM: Topic-aware abstractive arabic text summarisation using deep recurrent neural networks AU - Dimah Alahmadi AU - Arwa Wali AU - Sarah Alzahrani PY - 2022 JO - Journal of King Saud University - Computer and Information Sciences DO - 10.1016/j.jksuci.2022.03.026 UR - https://doi.org/10.1016/j.jksuci.2022.03.026 ER -
APA
Alahmadi, D., Wali, A., & Alzahrani, S. (2022). TAAM: Topic-aware abstractive arabic text summarisation using deep recurrent neural networks. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2022.03.026
Source records
- crossref · retrieved 2026-09-26T12:04:56.003Z