WSDTN a Novel Dataset for Arabic Word Sense Disambiguation

Author:

Saidi RakiaORCID,Jarray FethiORCID,Akacha Asma,Aribi Wissem

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Ma, J., Li, L.: Data augmentation for Chinese text classification using back-translation. In: Journal of Physics: Conference Series, vol. 1651, no. 1, p. 012039. IOP Publishing (2020)

2. Elmougy, S., Taher, H., Noaman, H.: Naïve Bayes classifier for Arabic word sense disambiguation. In: Proceeding of the 6th International Conference on Informatics and Systems, pp. 16–21 (2008)

3. El-Gedawy, M.N.: Using fuzzifiers to solve word sense ambiguation in Arabic language. Int. J. Comput. Appl. 79(2) (2013)

4. Alkhatlan, A., Kalita, J., Alhaddad, A.: Word sense disambiguation for Arabic exploiting Arabic wordnet and word embedding. Procedia Comput. Sci. 142, 50–60 (2018)

5. Hadni, M., Ouatik, S.E.A., Lachkar, A.: Word sense disambiguation for Arabic text categorization. Int. Arab J. Inf. Technol. 13(1A), 215–222 (2016)

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