Semantic Scholar Open Access 2022 6 sitasi

ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts

A. Tsvigun Leonid Sanochkin Daniil Larionov Gleb Kuzmin Artem Vazhentsev +5 lainnya

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Abstrak

We present ALToolbox – an open-source framework for active learning (AL) annotation in nat-ural language processing. Currently, the framework supports text classification, sequence tagging, and seq2seq 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 1,2 . The code of the framework is published under the MIT license 3 .

Topik & Kata Kunci

Computer Science

Penulis (10)

A. Tsvigun

Leonid Sanochkin

Daniil Larionov

Gleb Kuzmin

Artem Vazhentsev

Ivan Lazichny

Nikita Khromov

Danil Kireev

A. Rubashevskii

O. Shahmatova

Format Sitasi

APA MLA BibTeX

Tsvigun, A., Sanochkin, L., Larionov, D., Kuzmin, G., Vazhentsev, A., Lazichny, I. et al. (2022). ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts. https://doi.org/10.18653/v1/2022.emnlp-demos.41

Akses Cepat

Lihat di Sumber doi.org/10.18653/v1/2022.emnlp-demos.41

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Total Sitasi: 6×
Sumber Database: Semantic Scholar
DOI: 10.18653/v1/2022.emnlp-demos.41
Akses: Open Access ✓