Skip to content

Latest commit

 

History

History
2 lines (2 loc) · 434 Bytes

File metadata and controls

2 lines (2 loc) · 434 Bytes

NamedEntityRecognition-BiLSTM-CRF-BERT

Named Enity Recognition is one of the most common NLP problems. The goal is classify named entities in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. What can you use it for? Here are a few ideas - social media, chatbot, customer support tickets, survey responses, and data mining!