Analyzing the Impact of Tokenization on Multilingual Epidemic Surveillance in Low-Resource Languages-Reference-Cited by-同舟云学术

Analyzing the Impact of Tokenization on Multilingual Epidemic Surveillance in Low-Resource Languages

Published:2023 Issue: Volume: Page:17-32
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Mutuvi Stephen^ORCID,Boros Emanuela^ORCID,Doucet Antoine^ORCID,Lejeune Gaël^ORCID,Jatowt Adam^ORCID,Odeo Moses^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-41682-8_2

Reference44 articles.

1. Adelani, D.I., et al.: MasakhaNER: named entity recognition for African languages. Trans. Assoc. Comput. Linguist. 9, 1116–1131 (2021). https://doi.org/10.1162/tacl_a_00416, https://aclanthology.org/2021.tacl-1.66

2. Balajee, S.A., Salyer, S.J., Greene-Cramer, B., Sadek, M., Mounts, A.W.: The practice of event-based surveillance: concept and methods. Global Secur. Health Sci. Policy 6(1), 1–9 (2021)

3. Beltagy, I., Lo, K., Cohan, A.: SciBERT: a pretrained language model for scientific text. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 3615–3620. Association for Computational Linguistics, Hong Kong, China, November 2019. https://doi.org/10.18653/v1/D19-1371, https://aclanthology.org/D19-1371

4. Brownstein, J.S., Freifeld, C.C., Reis, B.Y., Mandl, K.D.: Surveillance sans frontieres: internet-based emerging infectious disease intelligence and the healthmap project. PLoS Med. 5(7), e151 (2008)

5. Chen, X., Wang, S., Fu, B., Long, M., Wang, J.: Catastrophic forgetting meets negative transfer: batch spectral shrinkage for safe transfer learning. Adv. Neural Inf. Process. Syst. 32 (2019)