AutoIntent:面向文本分類的自動機器學習
AutoIntent: AutoML for Text Classification
September 25, 2025
作者: Ilya Alekseev, Roman Solomatin, Darina Rustamova, Denis Kuznetsov
cs.AI
摘要
AutoIntent 是一款专为文本分类任务设计的自动化机器学习工具。与现有解决方案不同,AutoIntent 提供了端到端的自动化流程,包括嵌入模型选择、分类器优化以及决策阈值调整,所有这些功能均集成于一个模块化、类似于 sklearn 的接口中。该框架旨在支持多标签分类及范围外检测任务。在标准意图分类数据集上,AutoIntent 展现出相较于现有 AutoML 工具更优的性能,并允许用户在效果与资源消耗之间实现平衡。
English
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.