Tree Representations for Chinese Semantic Role Labeling

نویسندگان

  • Ni Lao
  • Teruko Mitamura
  • Eric Nyberg
چکیده

We compare different parse tree representations for the task of Chinese Semantic Role Labeling (SRL), including dependency and constituency parse trees, two tree pruning methods, and neighbor features. Three learning models are compared. By using SVM classifier with neighbor features and pruning tree to phrase level we achieve significantly better speed and accuracy than state of the art Chinese SRL systems.

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تاریخ انتشار 2009