OpenAutoNLU: Open Source AutoML Library for NLU

• URL: http://arxiv.org/abs/2603.01824v1
• Date: Mon, 02 Mar 2026 12:56:54 GMT
• Title: OpenAutoNLU: Open Source AutoML Library for NLU
• Authors: Grigory Arshinov, Aleksandr Boriskin, Sergey Senichev, Ayaz Zaripov, Daria Galimzianova, Daniil Karpov, Leonid Sanochkin,
• Abstract summary: OpenAutoNLU is an open-source automated machine learning library.<n>It covers both text classification and named entity recognition.<n>The library also provides integrated data quality diagnostics.
• Score: 35.02604685658811
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: OpenAutoNLU is an open-source automated machine learning library for natural language understanding (NLU) tasks, covering both text classification and named entity recognition (NER). Unlike existing solutions, we introduce data-aware training regime selection that requires no manual configuration from the user. The library also provides integrated data quality diagnostics, configurable out-of-distribution (OOD) detection, and large language model (LLM) features, all within a minimal lowcode API. The demo app is accessible here https://openautonlu.dev.

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