1. A method, in a data processing system comprising a processor and a memory, for identifying hidden meaning in a portion of natural language content, the method comprising: receiving, by the data processing system, a primary portion of natural language content; identifying, by the data processing system, a secondary portion of natural language content that references the natural language content; analyzing, by the data processing system, the secondary portion of natural language content to identify indications of meaning directed to elements of the primary portion of natural language content; generating, by the data processing system, a 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; and generating, by the data processing system, a hidden meaning statement data structure for the primary portion of natural language content based on the probabilistic model.