Patent Document ID: 8086028
Application ID: 12648933

Base Claim:
1. A method of generating a set of tuple-term pairs from a corpus of text, comprising: compiling via a processor concordance lines associated with terms in the corpus; identifying a set of verb-argument tuples and associated terms from the concordance lines; selecting from the set each verb-argument tuple and associated term having a computed numerical quantification of strength of association greater than a threshold, wherein the selected verb-argument tuples and associated terms represent most likely actions associated with the terms; and storing in a database each tuple-term pair in the set of tuple-term pairs 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.

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Claim 5:
5. The method of claim 1 , wherein the numerical quantification of the strength of association is computing according to steps comprising: computing a ratio of a likelihood of a first and a second hypothesis, wherein: the first hypothesis indicates that a probability of the verb-argument tuple occurring given the associated term is indistinguishable from a probability of the verb-argument tuple occurring given something other than the associated term, and the second hypothesis indicates that the probability of the verb-argument tuple occurring given the associated term is distinguishable from the probability of the verb-argument tuple occurring given something other than the associated term.