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        <title>Can Monolingual Pretrained Models Help Cross-Lingual Classification?</title>
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    <abstract>Multilingual pretrained language models (such as multilingual BERT) have achieved impressive results for cross-lingual transfer. However, due to the constant model capacity, multilingual pre-training usually lags behind the monolingual competitors. In this work, we present two approaches to improve zero-shot cross-lingual classification, by transferring the knowledge from monolingual pretrained models to multilingual ones. Experimental results on two cross-lingual classification benchmarks show that our methods outperform vanilla multilingual fine-tuning.</abstract>
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%0 Conference Proceedings
%T Can Monolingual Pretrained Models Help Cross-Lingual Classification?
%A Chi, Zewen
%A Dong, Li
%A Wei, Furu
%A Mao, Xianling
%A Huang, Heyan
%Y Wong, Kam-Fai
%Y Knight, Kevin
%Y Wu, Hua
%S Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
%D 2020
%8 December
%I Association for Computational Linguistics
%C Suzhou, China
%F chi-etal-2020-monolingual
%X Multilingual pretrained language models (such as multilingual BERT) have achieved impressive results for cross-lingual transfer. However, due to the constant model capacity, multilingual pre-training usually lags behind the monolingual competitors. In this work, we present two approaches to improve zero-shot cross-lingual classification, by transferring the knowledge from monolingual pretrained models to multilingual ones. Experimental results on two cross-lingual classification benchmarks show that our methods outperform vanilla multilingual fine-tuning.
%R 10.18653/v1/2020.aacl-main.2
%U https://aclanthology.org/2020.aacl-main.2
%U https://doi.org/10.18653/v1/2020.aacl-main.2
%P 12-17

Markdown (Informal)

[Can Monolingual Pretrained Models Help Cross-Lingual Classification?](https://aclanthology.org/2020.aacl-main.2) (Chi et al., AACL 2020)

• Can Monolingual Pretrained Models Help Cross-Lingual Classification? (Chi et al., AACL 2020)

ACL

• Zewen Chi, Li Dong, Furu Wei, Xianling Mao, and Heyan Huang. 2020. Can Monolingual Pretrained Models Help Cross-Lingual Classification?. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 12–17, Suzhou, China. Association for Computational Linguistics.