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📄 Abstract - AutoIntent: AutoML for Text Classification

AutoIntent is an automated machine learning tool for text classification tasks. Unlike existing solutions, AutoIntent offers end-to-end automation with embedding model selection, classifier optimization, and decision threshold tuning, all within a modular, sklearn-like interface. The framework is designed to support multi-label classification and out-of-scope detection. AutoIntent demonstrates superior performance compared to existing AutoML tools on standard intent classification datasets and enables users to balance effectiveness and resource consumption.

顶级标签: natural language processing machine learning model training
详细标签: automl text classification multi-label classification embedding selection threshold tuning 或 搜索:

📄 论文总结

AutoIntent:用于文本分类的自动化机器学习工具 / AutoIntent: AutoML for Text Classification


1️⃣ 一句话总结

这篇论文介绍了一个名为AutoIntent的自动化机器学习工具,它能自动完成文本分类任务中的模型选择、分类器优化和决策阈值调整,在保持高性能的同时让用户灵活平衡效果与资源消耗。


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