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OpenAutoNLU: Open Source AutoML Library for NLU

Grigory Arshinov
Aleksandr Boriskin
Sergey Senichev
Ayaz Zaripov
Daria Galimzianova
Daniil Karpov
Leonid Sanochkin
Main:6 Pages
3 Figures
Bibliography:2 Pages
8 Tables
Appendix:2 Pages
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 herethis https URL.

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