Applied Artificial Intelligence Technology for Natural Language Generation Using a Graph Data Structure in Combination with Chooser Code, Structurer Code, and Realizer Code

Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that a plurality of different nodes represent different corresponding intents and (2) is associated with one or more links to one or more of the nodes to define relationships among the intents. A processor executes chooser code, structurer code, and realizer code to generate the natural language narratives. The chooser code determines content for expression in a natural language narrative based on a traversal of the graph data structure based on defined criteria and a plurality of the links, wherein the traversal operates to choose a plurality of the nodes for evaluation with respect to the structured data to derive content for expression in that natural language narrative.