Artem Vazhentsev
Gleb Kuzmin
Akim Tsvigun
Leonid Sanochkin
Daniil Larionov
Dmitry Dylov
Ivan Lazichny
Nikita Khromov
Danil Kireev
Aleksandr Rubashevskii
Igor Galitskiy
ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts
Abstract
We present ALToolbox -- an opensource framework for active learning (AL) annotation in natural language processing. Currently, the framework supports text classification and sequence tagging tasks. Besides state-of-the-art query strategies, ALToolbox provides a set of tools that help to reduce computational overhead and duration of AL iterations and increase annotated data reusability. The framework aims to support data scientists and researchers by providing an easy-to-deploy GUI annotation tool directly in the Jupyter IDE and an extensible benchmark for novel AL methods. We prepare a small demonstration of ALToolbox capabilities available online\footnote{\url{http://demo.nlpresearch.group}}\textsuperscript{,}\footnote{\url{http://demo-video.nlpresearch.group}}.
The code of the framework is published under the MIT license\footnote{\url{https://github.com/AIRI-Institute/al_toolbox}}.
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