1. A method of natural language processing (‘NLP’), the method comprising: receiving, by an NLP module, text specifying predetermined evidence; receiving, by the NLP module, a text passage to process, the text passage including conditions and logical operators, the text passage comprising criteria for evidence; decomposing, by the NLP module, the text passage into coarse grained text fragments, including grouping text segments as coarse grained text fragments in dependence upon the logical operators; analyzing, by the NLP module, each coarse grained text fragment to identify conditions within the coarse grained text fragment; evaluating, by the NLP module, each identified condition in accordance with the predetermined evidence and predefined condition evaluation rules; evaluating, by the NLP module, each coarse grained text fragment in dependence upon the identified condition evaluations and the logical operators of the coarse grained text fragment; and calculating, by the NLP module in dependence upon the evaluations of each coarse grained text fragment, a truth value indicating a degree to which the evidence meets the criteria of the text passage.