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CCF International Conference on Natural Language Processing and Chinese Computing

NLPCC 2021: Natural Language Processing and Chinese Computing pp 509–518Cite as

A Unified Platform for Information Extraction with Two-Stage Process

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13029))

Abstract

The multi-format Information Extraction (IE) task in Language and Intelligence Challenge 2021 (LIC2021) consists of three subtasks: Relation Extraction (RE), Sentence-level Event Extraction (SentEE) and Document-level Event Extraction (DocEE). Deep learning methods have made great progress in each subtask these years. However, most of them cannot solve these subtasks by a unified platform. In this paper, we develop a unified neural model with two-stage process, which adopt the Enhanced NER module in stage one to obtained the ELEMENTs and corresponding LABELs. In stage two, we designed the customized manoeuvres to solve challenges in different subtasks. The submission shows that our model achieves competitive performance, which ranks 3rd on the final leaderboard.

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Notes

  1. 1.

    For details of the datasets, please refer to https://aistudio.baidu.com.

References

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Author information

Authors and Affiliations

  1. National Joint Engineering Laboratory of Internet Applied Technology of Mines, China University of Mining and Technology, Xuzhou, Jiangsu, China

    Chongshuai Zhao & Peng Liu

  2. University of Science and Technology of China, Hefei, Anhui, China

    Dongjie Guo & Xudong Dai

  3. Xi’an Jiaotong University, Xi’an, Shaanxi, China

    Chengmin Gu

  4. Nanjing University of Science and Technology, Nanjing, Jiangsu, China

    Lingling Fa

Authors
  1. Chongshuai Zhao
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  2. Dongjie Guo
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  3. Xudong Dai
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  4. Chengmin Gu
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  5. Lingling Fa
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  6. Peng Liu
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Corresponding author

Correspondence to Peng Liu .

Editor information

Editors and Affiliations

  1. University of Michigan, Ann Arbor, MI, USA

    Lu Wang

  2. Peking University, Beijing, China

    Yansong Feng

  3. Soochow University, Suzhou, China

    Yu Hong

  4. Tianjin University, Tianjin, China

    Ruifang He

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© 2021 Springer Nature Switzerland AG

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Cite this paper

Zhao, C., Guo, D., Dai, X., Gu, C., Fa, L., Liu, P. (2021). A Unified Platform for Information Extraction with Two-Stage Process. In: Wang, L., Feng, Y., Hong, Y., He, R. (eds) Natural Language Processing and Chinese Computing. NLPCC 2021. Lecture Notes in Computer Science(), vol 13029. Springer, Cham. https://doi.org/10.1007/978-3-030-88483-3_41

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  • DOI: https://doi.org/10.1007/978-3-030-88483-3_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88482-6

  • Online ISBN: 978-3-030-88483-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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