Name entity recognition with deep learning

A named entity recognition system comprising:

• an NER model configured for predicting entities and/or entity types within a corpus of text;
• and
• a comparison module configured for identifying entities based on comparing the entity results output from the NER model with entities stored in one or more entity dictionaries, wherein the additional entities are different to the entities of the one or more entity dictionaries.

A computer-implemented method for identifying entities in a corpus of text, the method comprising:

• receiving a first set of entity results from a first name entity recognition, NER, system based on a corpus of text, the first NER system comprising a plurality of entity dictionaries configured for identifying entities and/or entity types from the dictionaries within the corpus of text;
• receiving a second set of entity results from a second NER system based on the corpus of text, the second NER system comprising an NER model configured for predicting entities and/or entity types within the corpus of text;
• identifying entities based on comparing the entity results output from the first and second NER systems, wherein the identified entities are different to the entities identified by the first NER system.

A computer-implemented method for identifying entities in a corpus of text, the method comprising:

• receiving a set of entity results from an NER system based on the corpus of text, the NER system comprising an NER model configured for predicting entities and/or entity types within the corpus of text;
• identifying entities based on comparing the entity results output from the NER system with entities stored in one or more entity dictionaries, wherein the identified entities are different to the entities of the one or more entity dictionaries.

(canceled)