Enhancing Intent Classifier Training with Large Language Model-generated Data
Intent classification is essential in Natural Language Processing, serving applications like virtual assistants and customer service by categorizing user inputs into predefined classes. Despite its importance, the effectiveness of intent classifiers is often constrained by the scarcity of labeled da...
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| Main Authors: | Alberto Benayas, Sicilia Miguel-Ángel, Marçal Mora-Cantallops |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2414483 |
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