An Adaptive Algorithm for Polysemous Words in Natural Language Processing-Reference-Cited by-同舟云学术

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An Adaptive Algorithm for Polysemous Words in Natural Language Processing

Published:2023 Issue: Volume: Page:163-172
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
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Author:

Kokane Chandrakant,Babar Sachin,Mahalle Parikshit

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9228-5_15

Reference10 articles.

1. H. Calvo et al., Toward universal word sense disambiguation using deep neural networks. IEEE Access 7, 60264–60275 (2019)

2. Y. Gutiérrez, S. Vázquez, A. Montoyo, Spreading semantic information by word sense disambiguation. Knowl.-Based Syst. 132, 47–61 (2017). ISSN: 0950-7051

3. I. Iacobacci, M.T. Pilehvar, R. Navigli, Embedding for word sense disambiguation: an evaluation study, in 2016 Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (2016), pp. 897–907

4. C.D. Kokane, S.D. Babar, Supervised word sense disambiguation with recurrent neural network model. Int. J. Eng. Adv. Technol. (IJEAT) 9(2) (2019). ISSN: 2249-8958

5. C.D. Kokane, S.D. Babar, P.N. Mahalle, An adaptive algorithm for lexical ambiguity in word sense disambiguation, in Proceeding of First Doctoral Symposium on Natural Computing Research: DSNCR 2020, vol. 169 (Springer, 2021)

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