Extracting Veiled Meaning in Natural Language Content

A computer program product comprising a non-transitory computer readable medium having a computer readable program stored therein, wherein the computer readable program, when executed in a data processing system, causes the data processing system to:

• receive a primary portion of natural language content from one or more corpora of electronic documentation;
• identify a secondary portion of natural language content, in the one or more corpora of electronic documentation, that references the primary portion of natural language content;
• analyze the secondary portion of natural language content to identify indications of meaning directed to elements of the primary portion of natural language content;
• generate a hidden meaning statement data structure for the primary portion of natural language content based on the indications of meaning identified by the analysis of the secondary portion;
• and
• perform a cognitive operation at least by performing natural language processing on a combination of the primary portion of natural language content and the hidden meaning statement data structure.

An apparatus comprising:

• a processor;
• and
• a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to:
• receive a primary portion of natural language content from one or more corpora of electronic documentation;
• identify a secondary portion of natural language content, in the one or more corpora of electronic documentation, that references the primary portion of natural language content;
• analyze the secondary portion of natural language content to identify indications of meaning directed to elements of the primary portion of natural language content;
• generate a hidden meaning statement data structure for the primary portion of natural language content based on the indications of meaning identified by the analysis of the secondary portion;
• and
• perform a cognitive operation at least by performing natural language processing on a combination of the primary portion of natural language content and the hidden meaning statement data structure.