Applied Artificial Intelligence Technology for Natural Language Generation that Chooses Content for Expression In Narratives Using a Graph Data Structure
Abstract:
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 different nodes represent different corresponding intents, (2) is associated with a result that represents an evaluation of the node's corresponding intent with respect to the structured data, and (3) is associated with one or more links to one or more of the nodes to define relationships among the intents. A processor traverses the graph data structure based on defined criteria and a plurality of the links to choose which of the results are to be expressed in the natural language narratives.
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