Combining Bert Representation and POS Tagger for Arabic Word Sense Disambiguation-Reference-Cited by-同舟云学术

Combining Bert Representation and POS Tagger for Arabic Word Sense Disambiguation

Published:2022 Issue: Volume: Page:676-685
ISSN:2367-3370
Container-title:Intelligent Systems Design and Applications
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Author:

Saidi Rakia,Jarray Fethi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-96308-8_63

Reference32 articles.

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2. Zouaghi, A., Merhbene, L., Zrigui, M.: A hybrid approach for Arabic word sense disambiguation. Int. J. Comput. Process. Lang. 24(02), 133–151 (2012)

3. Merhbene, L., Zouaghi, A., Zrigui, M.: A semi-supervised method for Arabic word sense disambiguation using a weighted directed graph. In: Proceedings of the Sixth International Joint Conference on Natural Language Processing, pp. 1027–1031 (2013)

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

5. Menai, M.E.B.: WSD using evolutionary algorithms-application to Arabic language. Comput. Hum. Behav. 41, 92–103 (2014)

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1. Stacking of BERT and CNN Models for Arabic Word Sense Disambiguation;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-11-18

2. WSDTN a Novel Dataset for Arabic Word Sense Disambiguation;Advances in Computational Collective Intelligence;2023

3. PosWSD: Low-Resource Word Sense Disambiguation Model using Part Of Speech Information;2022 International Conference on Asian Language Processing (IALP);2022-10-27