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        <title>Pre-trained Language Model Based Active Learning for Sentence Matching</title>
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        <namePart type="given">Guirong</namePart>
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    <abstract>Active learning is able to significantly reduce the annotation cost for data-driven techniques. However, previous active learning approaches for natural language processing mainly depend on the entropy-based uncertainty criterion, and ignore the characteristics of natural language. In this paper, we propose a pre-trained language model based active learning approach for sentence matching. Differing from previous active learning, it can provide linguistic criteria from the pre-trained language model to measure instances and help select more effective instances for annotation. Experiments demonstrate our approach can achieve greater accuracy with fewer labeled training instances.</abstract>
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%0 Conference Proceedings
%T Pre-trained Language Model Based Active Learning for Sentence Matching
%A Bai, Guirong
%A He, Shizhu
%A Liu, Kang
%A Zhao, Jun
%A Nie, Zaiqing
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F bai-etal-2020-pre
%X Active learning is able to significantly reduce the annotation cost for data-driven techniques. However, previous active learning approaches for natural language processing mainly depend on the entropy-based uncertainty criterion, and ignore the characteristics of natural language. In this paper, we propose a pre-trained language model based active learning approach for sentence matching. Differing from previous active learning, it can provide linguistic criteria from the pre-trained language model to measure instances and help select more effective instances for annotation. Experiments demonstrate our approach can achieve greater accuracy with fewer labeled training instances.
%R 10.18653/v1/2020.coling-main.130
%U https://aclanthology.org/2020.coling-main.130
%U https://doi.org/10.18653/v1/2020.coling-main.130
%P 1495-1504

Markdown (Informal)

[Pre-trained Language Model Based Active Learning for Sentence Matching](https://aclanthology.org/2020.coling-main.130) (Bai et al., COLING 2020)

• Pre-trained Language Model Based Active Learning for Sentence Matching (Bai et al., COLING 2020)

ACL

• Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, and Zaiqing Nie. 2020. Pre-trained Language Model Based Active Learning for Sentence Matching. In Proceedings of the 28th International Conference on Computational Linguistics, pages 1495–1504, Barcelona, Spain (Online). International Committee on Computational Linguistics.