Papers by Quaizar Vohra
Exploring Zero and Few-shot Techniques for Intent Classification (2023.acl-industry)
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| Challenge: | Intent classification is the primary natural language understanding task for a virtual agent or a chatbot. |
| Approach: | They propose four different approaches to zero-shot intent classification with low-resource constraints . they use domain adaptation, data augmentation, and parametric fine-tuning to achieve this . |
| Outcome: | The proposed approaches perform well in low-resource settings for zero/few-shot intent classification . the proposed methods remove or substantially reduce the work to provide intent-utterances . |