Deep learning-based text augmentation for named entity recognition
This thesis is focused on the development of an effective text augmentation method for Named Entity Recognition (NER) in the low-resource setting. NER, an important sequence labeling task in Natural Language Processing, is used to identify predefined entities in text. NER datasets tend to be smal...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/171105 |