← Previous · All Episodes · Next →
AutoIntent: AutoML for Text Classification Episode 1178

AutoIntent: AutoML for Text Classification

· 22:28

|

🤗 Upvotes: 22 | cs.CL

Authors:
Ilya Alekseev, Roman Solomatin, Darina Rustamova, Denis Kuznetsov

Title:
AutoIntent: AutoML for Text Classification

Arxiv:
http://arxiv.org/abs/2509.21138v1

Abstract:
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.


Subscribe

Listen to Daily Paper Cast using one of many popular podcasting apps or directories.

Apple Podcasts Spotify Overcast Pocket Casts YouTube
← Previous · All Episodes · Next →