In this work, we focus on stereotypical or prominent characteristics across a range of actions that can be denoted using the same verb.
three investigation points of our work include: (1) crowd-sourcing experiments to estimate the distribution of human judgments on the prominent characteristics of everyday physical action verbs, (2) the feasibility of learning models for inferring the prominent characteristics of the everyday action verbs despite the potential noise in the human annotation, and (3) their predictive power in zeroshot action recognition despite the potential noise from contextual variations of action attributes.