On the data scarcity problem of neural-based named entity recognition
The data scarcity problem in neural-based Named Entity Recognition (NER) refers to the challenge of limited annotated data available for training NER models. Collecting and annotating large amounts of labeled data for various languages and domains can be time-consuming, expensive, and sometimes ev...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/173481 |
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