1. A method, in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor that configure the at least one processor to implement a natural language processing system that performs natural language processing on natural language content at least by processing logical relationships in the natural language content, the method comprising: generating, by the natural language processing system of the data processing system, a logical parse hierarchical representation of a first parse of a natural language content by identifying latent logical operators within the first parse indicative of logical relationships between elements of the natural language content, wherein the logical parse hierarchical representation comprises nodes and edges linking nodes; associating, by the natural language processing system, at least one knowledge value with each node in the logical parse hierarchical representation; propagating, by the natural language processing system, the at least one knowledge value of at least a subset of the nodes in the logical parse hierarchical representation to one or more other nodes in the logical parse hierarchical representation based on propagation rules; and performing, by the natural language processing system, a reasoning operation on the logical parse hierarchical representation to generate a knowledge output indicative of knowledge associated with one or more of the logical relationships between elements of the natural language content.
10. The method of claim 1 , wherein propagating the at least one knowledge value of at least a subset of the nodes in the logical parse hierarchical representation to one or more other nodes in the logical parse hierarchical representation based on propagation rules comprises applying different propagation rules for different logical operator nodes in the logical parse hierarchical representation to propagate the at least one knowledge value upwards, downwards, and sideways in the hierarchical representation.