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A general strategy for researches on Chinese “的(de)” structure based on neural network

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Abstract

Noun phrases reflect people’s understanding of the world entities and play an important role in people’s language system, conceptual system and application system.

With the Chinese “的(de)” structure, attributive noun phrases of the combined type can accommodate more words and syntactic structures, resulting in rich levels and complex semantic structures in Chinese sentences. Moreover, the Chinese elliptical “的(de)” structure is also of vital importance to the overall semantic understanding of the sentence. Many researches focus on rule-based models and semantic complement of “verb+的(de)” structure. To tackle these issues, we propose a general three-stage strategy utilizing neural network for the researches on all “的(de)” structure. Experimental results demonstrate that the proposed strategy is effective in boundary definition, elliptical recognition and semantic complement of “的(de)” structure.

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Acknowledgements

This work is supported by National Natural Science Foundation of China under Grant 61772278, 61472191, and 41571382, National Social Science Fund of China under Grant 18BYY127, the project for Jiangsu Higher Institution’s Excellent Innovative Team for Philosophy and Social Science 2017STD006, Fujian Provincial Fund under Grant MJUKF201705, and Science & Technology Planning Project of Fuzhou City No.2017-G-106.

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Authors and Affiliations

  1. School of Computer Science and Technology, Nanjing Normal University, Nanjing, China

    Bingqing Shi, Weiguang Qu, Junsheng Zhou & Yanhui Gu

  2. School of Chinese Language and Literature, Nanjing Normal University, Nanjing, China

    Rubing Dai & Bin Li

  3. Fujian Provincial Key Laboratory of Information, Processing and Intelligent Control, Minjiang University, Fuzhou, China

    Weiguang Qu & Ge Xu

  4. Poisson Lab, Huawei Technologies, Beijing, China

    Xiaohui Yan

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  1. Bingqing Shi
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  2. Weiguang Qu
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  4. Bin Li
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  6. Junsheng Zhou
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  7. Yanhui Gu
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  8. Ge Xu
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Correspondence to Weiguang Qu or Yanhui Gu.

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Shi, B., Qu, W., Dai, R. et al. A general strategy for researches on Chinese “的(de)” structure based on neural network. World Wide Web 23, 2979–3000 (2020). https://doi.org/10.1007/s11280-020-00809-8

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