A Survey of Active Learning for Natural Language Processing

Zhisong Zhang; Emma Strubell; Eduard Hovy

EMNLP 2022main119 citations

A Survey of Active Learning for Natural Language Processing

Zhisong Zhang, Emma Strubell, Eduard Hovy

Abstract

In this work, we provide a literature review 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.

BibTeX

@inproceedings{zhang-etal-2022-survey,
    title = "A Survey of Active Learning for Natural Language Processing",
    author = "Zhang, Zhisong  and
      Strubell, Emma  and
      Hovy, Eduard",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.414/",
    doi = "10.18653/v1/2022.emnlp-main.414",
    pages = "6166--6190"
}