Nested Named Entity Recognition

A computer-implemented method for nested named entity recognition, comprising:

• receiving, into a stack of named entity recognition models comprised of M number of flat named entity recognition models, a natural language text as input, wherein each named entity recognition model is assigned to identify named entities of a span length, 1 through M;
• running all named entity recognition models simultaneously to generate an output for each named entity recognition model;
• converting the output of each named entity recognition model to an output vector, wherein each output vector value:
• a) identifies if a word span, of the named entity recognition model's assigned span length, in the input is a named entity or not a named entity;
• b) if the word span is a named entity, identifies what cluster the named entity belongs to.

A system for nested named entity recognition, comprising at least one processor, the at least one processor configured to cause the system to at least perform:

• receiving, into a stack of neural capsule embedding networks comprised of M number of flat neural capsule embedding networks, an embedding vector as input, wherein:
• a) the embedding vector contains embeddings representing words in a natural language text;
• b) each neural capsule embedding network is configured to identify named entities of an assigned span length, 1 through M;
• analyzing, by each neural capsule embedding network simultaneously, the context of each word within the embedding vector considering tokens to the left and right of the word;
• through dynamic routing of capsules, by each neural capsule embedding network simultaneously, converging to a final capsule layer mapping to each word in the input vector;
• generating, by each neural capsule embedding network simultaneously, an output vector, wherein each output vector value:
• a) identifies if a word span, of the neural capsule embedding network's assigned span length, in the input is a named entity or not a named entity;
• b) if the word span is a named entity, identifies what cluster the named entity belongs to.