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Cross-Lingual Entity Matching for Heterogeneous Online Wikis

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Natural Language Processing and Chinese Computing (NLPCC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10619))

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Abstract

Knowledge bases play an increasing important role in many applications. However, many knowledge bases mainly focus on English knowledge, and have only a few knowledge for low-resource languages (LLs). If we can map the entities in LLs to these in high-resource languages (HLs), many knowledge such as relation between entities can be transferred from HLs to LLs.

In this paper, we propose an efficient and effective Cross-Lingual Entity Matching approach (CL-EM) to enrich the existing cross-lingual links by learning to rank framework with the learned language-independent features, including cross-lingual topic features and document embedding features. In the experiments, we verified our approach on the existing cross-lingual links between Chinese Wikipedia and English Wikipedia by comparing it with other state-of-art approaches. In addition, we also discovered 141,754 new cross-lingual links between Baidu Baike and English Wikipedia, which almost doubles the number of the existing cross-lingual links.

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Notes

  1. 1.

    http://wiki.dbpedia.org/dbpedia-2016-04-statistics.

  2. 2.

    http://baike.baidu.com.

  3. 3.

    http://www.baike.com.

  4. 4.

    https://www.tensorflow.org/.

  5. 5.

    http://api.fanyi.baidu.com.

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Acknowledgements

This work is supported by the Zhejiang Provincial Natural Science Foundation of China (No. LY17F020015), the Chinese Knowledge Center of Engineering Science and Technology (CKCEST), and the Fundamental Research Funds for the Central Universities (No. 2017FZA5016).

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Authors and Affiliations

  1. College of Computer Science and Technology, Zhejiang University, Zhejiang, China

    Weiming Lu, Peng Wang, Huan Wang, Jiahui Liu, Hao Dai & Baogang Wei

Authors
  1. Weiming Lu
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  2. Peng Wang
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  3. Huan Wang
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  4. Jiahui Liu
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  5. Hao Dai
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  6. Baogang Wei
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Corresponding author

Correspondence to Weiming Lu .

Editor information

Editors and Affiliations

  1. Fudan University, Shanghai, China

    Xuanjing Huang

  2. Singapore Management University, Singapore, Singapore

    Jing Jiang

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Peking University, Beijing, China

    Yansong Feng

  5. Soochow University, Suzhou, China

    Yu Hong

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Lu, W., Wang, P., Wang, H., Liu, J., Dai, H., Wei, B. (2018). Cross-Lingual Entity Matching for Heterogeneous Online Wikis. In: Huang, X., Jiang, J., Zhao, D., Feng, Y., Hong, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2017. Lecture Notes in Computer Science(), vol 10619. Springer, Cham. https://doi.org/10.1007/978-3-319-73618-1_78

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  • DOI: https://doi.org/10.1007/978-3-319-73618-1_78

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73617-4

  • Online ISBN: 978-3-319-73618-1

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