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Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning

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Chinese Computational Linguistics (CCL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12522))

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Abstract

Neural network based models have achieved impressive results on the sentence classification task. However, most of previous work focuses on designing more sophisticated network or effective learning paradigms on monolingual data, which often suffers from insufficient discriminative knowledge for classification. In this paper, we investigate to improve sentence classification by multilingual data augmentation and consensus learning. Comparing to previous methods, our model can make use of multilingual data generated by machine translation and mine their language-share and language-specific knowledge for better representation and classification. We evaluate our model using English (i.e., source language) and Chinese (i.e., target language) data on several sentence classification tasks. Very positive classification performance can be achieved by our proposed model.

Y. Wang and Y. Chen—Equal contribution.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (No. 61976057, No. 61572140), and Science and Technology Development Plan of Shanghai Science and Technology Commission (No. 20511101203, No. 20511102702, No. 20511101403, No. 18511105300). Yanfei Wang and Yangdong Chen contributed equally to this work, and were co-first authors. Yuejie Zhang was the corresponding author.

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Authors and Affiliations

  1. School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, 200433, China

    Yanfei Wang, Yangdong Chen & Yuejie Zhang

Authors
  1. Yanfei Wang
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  2. Yangdong Chen
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  3. Yuejie Zhang
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Corresponding author

Correspondence to Yuejie Zhang .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Maosong Sun

  2. Peking University, Beijing, China

    Sujian Li

  3. Westlake University, Hangzhou, China

    Yue Zhang

  4. Tsinghua University, Beijing, China

    Yang Liu

  5. Chinese Academy of Sciences, Beijing, China

    Shizhu He

  6. Beijing Language and Culture University, Beijing, China

    Gaoqi Rao

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Wang, Y., Chen, Y., Zhang, Y. (2020). Improving Sentence Classification by Multilingual Data Augmentation and Consensus Learning. In: Sun, M., Li, S., Zhang, Y., Liu, Y., He, S., Rao, G. (eds) Chinese Computational Linguistics. CCL 2020. Lecture Notes in Computer Science(), vol 12522. Springer, Cham. https://doi.org/10.1007/978-3-030-63031-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-63031-7_3

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