To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP
Data-hungry deep neural networks have established themselves as the de facto standard for many NLP tasks, including the traditional sequence tagging ones. Despite their state-of-the-art performance on high-resource languages, they still fall behind their statistical counterparts in low-resource scen...
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| Format: | Article |
| Language: | English |
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MIT Press Journals
2022
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| Online Access: | View Fulltext in Publisher |