Regularizing Data for Improving Execution Time of NLP Model
Natural language processing (NLP) is a very important part of machine learning that can be applied to different real applications. Several NLP models with huge training datasets are proposed. The primary purpose of these large-scale NLP models is the downstream tasks. However, because of the diversi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2022-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/130672 |
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