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A Translation Model-Based Question Answering Approach over Cross-Lingual Knowledge Graphs

  • Conference paper
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CCKS 2022 - Evaluation Track (CCKS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1711))

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Abstract

Question answering is a typical application of knowledge graphs and it develops fast recent years. However, there are still some difficulties in this topic like QA over cross-lingual knowledge graphs. CCKS2022 holds a benchmark competition on QA over cross-lingual knowledge graphs. In this paper, we present a three-stage approach leveraging translation model to this benchmark. Our approach outperforms in the benchmark, which reaches 0.9320 as the precision score ranking the first place on the leaderboard.

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References

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Author information

Authors and Affiliations

  1. China Merchants Bank Artificial Intelligence Laboratory, Shenzhen, 518000, China

    Jiangzhou Ji, Yaohan He & Jinlong Li

Authors
  1. Jiangzhou Ji
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  2. Yaohan He
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  3. Jinlong Li
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Corresponding author

Correspondence to Jiangzhou Ji .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Ningyu Zhang

  2. Southeast University, Nanjing, China

    Meng Wang

  3. Southeast University, Nanjing, China

    Tianxing Wu

  4. Nanjing University, Nanjing, China

    Wei Hu

  5. National University of Singapore, Singapore, Singapore

    Shumin Deng

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Ji, J., He, Y., Li, J. (2022). A Translation Model-Based Question Answering Approach over Cross-Lingual Knowledge Graphs. In: Zhang, N., Wang, M., Wu, T., Hu, W., Deng, S. (eds) CCKS 2022 - Evaluation Track. CCKS 2022. Communications in Computer and Information Science, vol 1711. Springer, Singapore. https://doi.org/10.1007/978-981-19-8300-9_5

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  • DOI: https://doi.org/10.1007/978-981-19-8300-9_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8299-6

  • Online ISBN: 978-981-19-8300-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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