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.
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. 8. The method of claim 7 , wherein the contextualizing features are key performance indicators (KPIs) and corresponding KPI values for a domain of the primary portion of natural language content.