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Overview of the NLPCC-ICCPOL 2016 Shared Task: Open Domain Chinese Question Answering

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Natural Language Understanding and Intelligent Applications (ICCPOL 2016, NLPCC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10102))

Abstract

In this paper, we give the overview of the open domain Question Answering (or open domain QA) shared task in the NLPCC-ICCPOL 2016. We first review the background of QA, and then describe two open domain Chinese QA tasks in this year’s NLPCC-ICCPOL, including the construction of the benchmark datasets and the evaluation metrics. The evaluation results of submissions from participating teams are presented in the experimental part.

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Authors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Nan Duan

Authors
  1. Nan Duan
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Corresponding author

Correspondence to Nan Duan .

Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Chin-Yew Lin

  2. Brandeis University, Waltham, Massachusetts, USA

    Nianwen Xue

  3. Peking University, Beijing, China

    Dongyan Zhao

  4. Fudan University, Shanghai, China

    Xuanjing Huang

  5. Peking University, Beijing, China

    Yansong Feng

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© 2016 Springer International Publishing AG

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Duan, N. (2016). Overview of the NLPCC-ICCPOL 2016 Shared Task: Open Domain Chinese Question Answering. In: Lin, CY., Xue, N., Zhao, D., Huang, X., Feng, Y. (eds) Natural Language Understanding and Intelligent Applications. ICCPOL NLPCC 2016 2016. Lecture Notes in Computer Science(), vol 10102. Springer, Cham. https://doi.org/10.1007/978-3-319-50496-4_89

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  • DOI: https://doi.org/10.1007/978-3-319-50496-4_89

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50495-7

  • Online ISBN: 978-3-319-50496-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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