Author:
Bensalah Nouhaila,Ayad Habib,Adib Abdellah,Ibn El Farouk Abdelhamid
Reference27 articles.
1. Alayba, A.M., Palade, V., England, M., Iqbal, R.: A combined cnn and lstm model for arabic sentiment analysis. In: International Cross-Domain Conference for Machine Learning and Knowledge Extraction, pp. 179–191 (2018)
2. Alqudsi, A., Omar, N., Shaker, K.: Arabic machine translation: a survey. Artif. Intell. Rev. 42(4), 549–572 (2014)
3. Antoun, W., Baly, F., Hajj, H.M.: Arabert: transformer-based model for arabic language understanding (2020) . CoRR abs/2003.00104
4. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: Bengio, Y., LeCun, Y. (eds) 3rd International Conference on Learning Representations, ICLR (2015)
5. Bastings, J., Filippova, K.: The elephant in the interpretability room: why use attention as explanation when we have saliency methods? In: Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pp. 149–155. Association for Computational Linguistics (2020)
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