Semantic Mapping of Natural Language Input to Database Entries via Convolutional Neural Networks

A system for associating a string of natural language with items in a relational database includes a first subsystem having a pre-trained first artificial neural network configured to apply a semantic tag selected from a predefined set of semantic labels to a segment of a plurality of tokens representing the string of natural language. A second subsystem includes a second artificial neural network configured to convert the plurality of labeled tokens into a first multi-dimensional vector representing the string of natural language. A third subsystem is configured to rank the first multi-dimensional vector against a second multi-dimensional vector representing a plurality of items in the relational database.