Enhancing Arabic-text feature extraction utilizing label-semantic augmentation in few/zero-shot learning
A growing amount of research use pre-trained language models to address few/zero-shot text classification problems. Most of these studies neglect the semantic information hidden implicitly beneath the natural language names of class labels and develop a meta learner from the input texts solely. In t...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/172293 |
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