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: Basabain, Seham, Cambria, Erik, Alomar, Khalid, Hussain, Amir
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/172293
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