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