Active Learning with AraGPT2 for Arabic Named Entity Recognition

Author:

Mahdhaoui Hassen,Mars Abdelkarim,Zrigui Mounir

Publisher

Springer Nature Switzerland

Reference33 articles.

1. Dahan, F., Touir, A., Mathkour, H.: First order hidden Markov model for automatic Arabic name entity recognition. Int. J. Comput. Appl. 123(7), 37–40 (2015)

2. Al-Shoukry, S.A.H., Omar, N.: Arabic named entity recognition for crime documents using classifiers combination. Int. Rev. Comput. Softw. 10(6), 628 (2015)

3. Abdellaoui, H., Zrigui, M.: Using tweets and emojis to build TEAD: an Arabic dataset for sentiment analysis. Computación y Sistemas 22(3), 777–786 (2018)

4. AbdelRahman, S., Elarnaoty, M., Magdy, M., Fahmy, A.: Integrated machine learning techniques for Arabic named entity recognition. Int. J. Comput. Sci. Issues 7, 27–36 (2010)

5. Laroussi, O., Mallat, S., Nicolas, H., Zrigui, M.: An opinion analysis method based on disambiguation to improve a recommendation system. In: Bădică, C., Treur, J., Benslimane, D., Hnatkowska, B., Krótkiewicz, M. (eds.) ICCCI 2022. CCIS, vol. 1653, pp. 42–56. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-16210-7_4

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