Systems and Methods for Named Entity Recognition

A non-transitory machine-readable medium comprising executable code which when executed by one or more processors associated with a computing device are adapted to cause the one or more processors to perform a method comprising:

• receiving an unstructured text input;
• identifying, using an entity classifier, entities in the unstructured text input, wherein the identifying the entities includes:
• generating, using a plurality of sub-classifiers of a hierarchical neural network classifier of the entity classifier, a plurality of lower-level entity identifications associated with the unstructured text input;
• and
• generating, using a combiner of the hierarchical neural network classifier, one or more higher-level entity identifications associated with the unstructured text input based on the plurality of lower-level entity identifications;
• and
• providing identified entities based on the one or more higher-level entity identifications.

A computing device comprising:

• a memory;
• and
• one or more processors coupled to the memory;
• wherein the one or more processors are configured to:
• identifying, using an entity classifier, entities in the unstructured text input, wherein the identifying the entities includes:
• generating, using a plurality of sub-classifiers of a hierarchical neural network classifier of the entity classifier, a plurality of lower-level entity identifications associated with the unstructured text input;
• and
• generating, using a combiner of the hierarchical neural network classifier, one or more higher-level entity identifications associated with the unstructured text input based on the plurality of lower-level entity identifications;
• and
• providing identified entities based on the one or more higher-level entity identifications.