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A Study on Automatic Recognition of Chinese Sentence Pairs Relations Based on CNN

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Chinese Lexical Semantics (CLSW 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11173))

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Abstract

The sentence pairs relations of Chinese discourse play an important role in many natural language processing tasks. Automatic recognition the sentence pairs relations will effectively improve the performance of tasks such as automatic writing and text generation. Among sentence pairs relations, coordination as the double-nucleus relation is the most widely distributed one. In order to automatically identify the double-nucleus relations, this paper combines convolutional neural network and word sequence features, synthetically takes into account the semantic and structural characteristics, and add attention to dig the double-nucleus relations. Experiments show that this method can effectively identify the double-nucleus relations, and the method is portability.

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Notes

  1. 1.

    The detail can be seen from “Tsinghua Syntactic Tree-Annotation Standard”, a technical report of Research Institute of Information Technology, Center for Speech and Language Technology.

  2. 2.

    https://baike.baidu.com/item/spearman相关系数/7977847?fr=aladdin.

  3. 3.

    https://baike.baidu.com/item/皮尔森相关系数/4222137?fr=aladdin.

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Acknowledgements

This work was supported by grants from National Natural Science Foundation of China (No.61433018, No.61373075), National Natural Science Foundation of China (No.61671070), National Language Committee Major Project (No.ZDI135-53), and Beijing Advanced Innovation Center for Imaging Technology (No.BAICIT-2016003).

Author information

Authors and Affiliations

  1. Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing, 100101, China

    Xuejing Zhang, Xueqiang Lv & Tianke Wei

  2. Beijing National Research Center for Information Science and Technology (BNRist), Beijing, 100084, China

    Qiang Zhou

  3. Research Institute of Information Technology, Center for Speech and Language Technology (RIIT, CSLT), Beijing, 100084, China

    Qiang Zhou

Authors
  1. Xuejing Zhang
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  2. Xueqiang Lv
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  3. Qiang Zhou
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  4. Tianke Wei
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Corresponding author

Correspondence to Qiang Zhou .

Editor information

Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Jia-Fei Hong

  2. Peking University, Beijing, China

    Qi Su

  3. National Chung Cheng University, Chiayi, Taiwan

    Jiun-Shiung Wu

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Zhang, X., Lv, X., Zhou, Q., Wei, T. (2018). A Study on Automatic Recognition of Chinese Sentence Pairs Relations Based on CNN. In: Hong, JF., Su, Q., Wu, JS. (eds) Chinese Lexical Semantics. CLSW 2018. Lecture Notes in Computer Science(), vol 11173. Springer, Cham. https://doi.org/10.1007/978-3-030-04015-4_42

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  • DOI: https://doi.org/10.1007/978-3-030-04015-4_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04014-7

  • Online ISBN: 978-3-030-04015-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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