Estimating astronomical scales requires multiple complex mental processes, such as spatial thinking and interpreting large numbers. As such, it is a nontrivial question how these estimates can be most efficiently assessed. There is reason to believe that results from previous studies probing astronomical scale estimates are possibly susceptible to…

Recent semantic space models learn vector representations for word meanings by observing statistical redundancies across a text corpus. A word's meaning is represented as a point in a high-dimensional semantic space, and semantic similarity between words is quantified by a function of their spatial proximity (typically the cosine of the angle…