A Survey of Active Learning for Natural Language Processing

October 18, 2022 · The Cartographer · 🏛 Conference on Empirical Methods in Natural Language Processing

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"Title-pattern auto-detect: A Survey of Active Learning for Natural Language Processing"

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Authors Zhisong Zhang, Emma Strubell, Eduard Hovy arXiv ID 2210.10109 Category cs.CL: Computation & Language Citations 78 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 8 days ago

Abstract

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.