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    ACL
    2006
    148views Computational Linguistics» more  ACL 2006»
    A Hybrid Convolution Tree Kernel for Semantic Role Labeling
    13 years 6 months ago
    A Hybrid Convolution Tree Kernel for Semantic Role Labeling
    Download  acl.ldc.upenn.edu
    A hybrid convolution tree kernel is proposed in this paper to effectively model syntactic structures for semantic role labeling (SRL). The hybrid kernel consists of two individual...
    Wanxiang Che, Min Zhang, Ting Liu, Sheng Li
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    TASLP
    2008
    134views more  TASLP 2008»
    Semantic Role Labeling Using a Grammar-Driven Convolution Tree Kernel
    13 years 4 months ago
    Semantic Role Labeling Using a Grammar-Driven Convolution Tree Kernel
    Download  www.comp.nus.edu.sg
    Convolution tree kernel has shown promising results in semantic role labeling (SRL). However, this kernel does not consider much linguistic knowledge in kernel design and only perf...
    Min Zhang, Wanxiang Che, Guodong Zhou, AiTi Aw, Ch...
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    COLING
    2008
    105views Computational Linguistics» more  COLING 2008»
    Tree Kernels for Semantic Role Labeling
    13 years 4 months ago
    Tree Kernels for Semantic Role Labeling
    Download  dit.unitn.it
    Alessandro Moschitti, Daniele Pighin, Roberto Basi...
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    TALIP
    2008
    76views more  TALIP 2008»
    Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling
    13 years 4 months ago
    Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling
    Download  www.comp.nus.edu.sg
    Wanxiang Che, Min Zhang, AiTi Aw, Chew Lim Tan, Ti...
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    AIIA
    2007
    Springer
    189views Artificial Intelligence» more  AIIA 2007»
    A Tree Kernel-Based Shallow Semantic Parser for Thematic Role Extraction
    13 years 11 months ago
    A Tree Kernel-Based Shallow Semantic Parser for Thematic Role Extraction
    Download  dit.unitn.it
    We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of informat...
    Daniele Pighin, Alessandro Moschitti
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