NAME ENTITY RECOGNITION WITH DEEP LEARNING

Systems, methods and apparatus are provided for identifying entities in a corpus of text. The system comprising: a first named entity recognition (NER) system comprising one or more entity dictionaries, the first NER system configured to identify entities and/or entity types within a corpus of text...

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Bibliographic Details
Main Authors ISO-SIPILA JUHA, TOGIA THEODOSIA, SAFARI AMIR, KRUGER FELIX ALEXANDER
Format Patent
LanguageChinese
English
Published 28.12.2021
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Systems, methods and apparatus are provided for identifying entities in a corpus of text. The system comprising: a first named entity recognition (NER) system comprising one or more entity dictionaries, the first NER system configured to identify entities and/or entity types within a corpus of text based on the one or more entity dictionaries, a second NER system comprising an NER model configured for predicting entities and/or entity types within the corpus of text; and a comparison module configured for identifying entities based on comparing the entity results output from the first and second NER systems, where the identified entities are different to the entities identified by the first NER system. The system may further include an updating module configured to update the one or more entity dictionaries based on the identified entities. The system may further include a dictionary building module configured to build a set of entity dictionaries based on at least the identified entities. The system may furt
Bibliography:Application Number: CN202080024080