4. The method of claim 1 , wherein generating the probabilistic model based on results of the analysis of the secondary portion of natural language content modeling a probability of hidden meaning in the primary portion of natural language content comprises generating one or more pairing data structures that pairs a secondary portion of natural language content with a corresponding primary portion of natural language content, wherein the secondary portion specifies a potential hidden meaning in the corresponding primary portion.
4. The method of claim 1 , wherein generating the probabilistic model based on results of the analysis of the secondary portion of natural language content modeling a probability of hidden meaning in the primary portion of natural language content comprises generating one or more pairing data structures that pairs a secondary portion of natural language content with a corresponding primary portion of natural language content, wherein the secondary portion specifies a potential hidden meaning in the corresponding primary portion. 7. The method of claim 4 , wherein generating the probabilistic model based on the secondary portion of natural language content modeling a probability of hidden meaning in the primary portion of natural language content comprises associating with a pairing data structure, in the one or more pairing data structures, contextualizing features that specify domain conditions contemporaneous to the primary portion of natural language content.