1. A computer-implemented method of generating a set of tuple-term pairs from a corpus of text, comprising: compiling via a processor a set of concordance lines for a set of terms in the corpus; storing a first set of verb-argument tuples and associated terms from the set of concordance lines; computing via the processor a numerical quantification of a strength of association between each verb-argument tuple and associated term in the first set; selecting, from the first set, each verb-argument tuple and associated term whose numerical quantification of strength of association is greater than a predetermined threshold, wherein the selected verb-argument tuples and associated terms form the set of the tuple-term pairs representing most likely actions associated with the set of terms; identifying each tuple-term pair in the set of tuple-term pairs having a verb that matches a verb in a sentence input to a text-to-scene conversion system that constructs an arbitrary three-dimensional scene from input text without using previously stored images; and storing the identified tuple-term pairs in a database.