Minimal Data for Maximum Impact: An Indonesian Part-of-Speech Tagging Case Study
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66965-1_3
Reference27 articles.
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4. Ariffin, S.N.A.N., Tiun, S.: Improved POS tagging model for Malay twitter data based on machine learning algorithm. Int. J. Adv. Comput. Sci. Appl. 13(7) (2022). https://doi.org/10.14569/IJACSA.2022.0130730, http://dx.doi.org/10.14569/IJACSA.2022.0130730
5. Aryoyudanta, B., Adji, T.B., Hidayah, I.: Semi-supervised learning approach for Indonesian named entity recognition (NER) using co-training algorithm. In: 2016 International Seminar on Intelligent Technology and Its Applications (ISITIA), pp. 7–12 (2016). https://doi.org/10.1109/ISITIA.2016.7828624
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