arXiv Open Access 2022

A Survey of Active Learning for Natural Language Processing

Zhisong Zhang Emma Strubell Eduard Hovy

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Abstrak

In this work, we provide a survey of active learning (AL) for its applications in natural language processing (NLP). In addition to a fine-grained categorization of query strategies, we also investigate several other important aspects of applying AL to NLP problems. These include AL for structured prediction tasks, annotation cost, model learning (especially with deep neural models), and starting and stopping AL. Finally, we conclude with a discussion of related topics and future directions.

Topik & Kata Kunci

cs.CL

Penulis (3)

Zhisong Zhang

Emma Strubell

Eduard Hovy

Format Sitasi

APA MLA BibTeX

Zhang, Z., Strubell, E., Hovy, E. (2022). A Survey of Active Learning for Natural Language Processing. https://arxiv.org/abs/2210.10109

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓