Representing Verbs as Argument Concepts.

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.