Revisiting Arabic Semantic Role Labeling using SVM Kernel Methods

نویسندگان

  • Laurel Hart
  • Hassan Alam
  • Aman Kumar
چکیده

As a critical language, there is huge potential for the usefulness of an Arabic Semantic Role Labeling (SRL) system. This task involves two subtasks: predicate argument boundary detection and argument classification. Based on the innovations of Diab, Moschitti, and Pighin (2007) in the field of Arabic Natural Language Processing (NLP), SRL in particular, we are currently developing a system for automatic SRL in Arabic.

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تاریخ انتشار 2012