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Building a High Performance End-to-End Explicit Discourse Parser for Practical Application

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Knowledge Science, Engineering and Management (KSEM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9403))

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Abstract

To build practical end-to-end discourse parser, labeling arguments to discourse is the bottleneck to improve performance of whole parser. In consideration of the difference between syntactic and discourse arguments of connectives and the difference between two arguments to discourse in SS and PS cases, we present a method to build two separate argument extractors for two arguments. To evaluate the performance of whole parser, we build an end-to-end explicit discourse parser on PDTB. Experimental results showed that our proposed discourse parser achieved the best performance on explicit discourse so far.

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Authors and Affiliations

  1. Department of Computer Science and Technology, East China Normal University, Shanghai, People’s Republic of China

    Jianxiang Wang & Man Lan

  2. Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, People’s Republic of China

    Man Lan

Authors
  1. Jianxiang Wang
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  2. Man Lan
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Corresponding author

Correspondence to Man Lan .

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Editors and Affiliations

  1. Chinese Academy of Sciences, Beijing, China

    Songmao Zhang

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Martin Wirsing

  3. Southwest University, Chongqing, China

    Zili Zhang

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Wang, J., Lan, M. (2015). Building a High Performance End-to-End Explicit Discourse Parser for Practical Application. In: Zhang, S., Wirsing, M., Zhang, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2015. Lecture Notes in Computer Science(), vol 9403. Springer, Cham. https://doi.org/10.1007/978-3-319-25159-2_30

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  • DOI: https://doi.org/10.1007/978-3-319-25159-2_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25158-5

  • Online ISBN: 978-3-319-25159-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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