Semi-supervised learning approach for Indonesian Named Entity Recognition (NER) using co-training algorithm
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7811892/7828613/07828624.pdf?arnumber=7828624
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Minimal Data for Maximum Impact: An Indonesian Part-of-Speech Tagging Case Study;Lecture Notes in Networks and Systems;2024
2. An Efficient Approach to Select Instances in Self-Training and Co-Training Semi-Supervised Methods;IEEE Access;2022
3. Named entity recognition for extracting concept in ontology building on Indonesian language using end-to-end bidirectional long short term memory;Expert Systems with Applications;2021-08
4. A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm;2021 International Joint Conference on Neural Networks (IJCNN);2021-07-18
5. A Co-Training-based Algorithm Using Confidence Values to Select Instances;2020 International Joint Conference on Neural Networks (IJCNN);2020-07
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