Representing Verbs as Argument Concepts

نویسندگان

  • Yu Gong
  • Kaiqi Zhao
  • Kenny Q. Zhu
چکیده

Verbs play an important role in the understanding of natural language text. This paper studies the problem of abstracting the subject and object arguments of a verb into a set of noun concepts, known as the “argument concepts”. This set of concepts, whose size is parameterized, represents the finegrained semantics of a verb. For example, the object of “enjoy” can be abstracted into time, hobby and event, etc. We present a novel framework to automatically infer human readable and machine computable action concepts with high accuracy.

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تاریخ انتشار 2016