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The Acquisition of Chinese Ergative Verbs and the Verification of Relevant Rules in Semantic Role Labeling

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Book cover Chinese Lexical Semantics (CLSW 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8229))

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Abstract

Ergative verb is a small class of Chinese verbs. Compared with other general verbs, it has different syntactic, semantic features. According to the grammatical viewpoint and the requirement of Chinese information processing, the thesis generalizes those verbs that can enter into “NP1+V+NP2” and “NP2+V” as ergative verbs, those verbs with causative features synchronously called typical ergative verbs, the others called atypical verbs. Based on this assumption, combining with the tagged corpus in Chinese PropBank, we find ergative verbs have their own semantic role labeling features which the general verbs don’t have, which will be useful to improve the accuracy of Semantic Role Labeling.

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Authors and Affiliations

  1. Institute of Computational Linguistics, Peking University, Beijing, 100871, China

    Mengxiang Wang, Yang Liu, Houfeng Wang & Longkai Zhang

  2. Key Laboratory of Computational Linguistics (Ministry of Education), Peking University, Beijing, 100871, China

    Mengxiang Wang, Yang Liu, Houfeng Wang & Longkai Zhang

Authors
  1. Mengxiang Wang
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  2. Yang Liu
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  3. Houfeng Wang
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  4. Longkai Zhang
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Editor information

Editors and Affiliations

  1. Applied Language Research Institute, Beijing Language and Culture University, No. 15 Xueyuan Road, Haidian District, 100083, Beijing, China

    Pengyuan Liu

  2. School of Foreign Languages, Peking University, No. 5, Yiheyuan Road, Haidian District, 100871, Beijing, China

    Qi Su

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© 2013 Springer-Verlag Berlin Heidelberg

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Wang, M., Liu, Y., Wang, H., Zhang, L. (2013). The Acquisition of Chinese Ergative Verbs and the Verification of Relevant Rules in Semantic Role Labeling. In: Liu, P., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2013. Lecture Notes in Computer Science(), vol 8229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45185-0_19

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  • DOI: https://doi.org/10.1007/978-3-642-45185-0_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45184-3

  • Online ISBN: 978-3-642-45185-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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