Answers.Body: <p>Yes, both of them are different tasks. POS tagging helps NER systems but it is not necessary. You can get features (say BERT/ELMo embedding) for each word in the sentence and train a CRF NER model. This looks like simple example <a href="https://www.pragnakalp.com/bert-named-entity-recognition-ner-tutorial-demo/" rel="nofollow noreferrer">https://www.pragnakalp.com/bert-named-entity-recognition-ner-tutorial-demo/</a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-07-01T00:49:50.007Z
Answers.LastActivityDate: 2020-07-01T00:49:50.007Z
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Body: <p>Is it possible to create a named entity recognition system without using POS tagging in the corpus?</p>
  
Tags: <natural-language-processing><named-entity-recognition><pos-tagging>
Title: Is it possible to create a named entity recognition system without using POS tagging in the corpus?
UserDisplayName: Rachmansyah Adhi Widhianto
ThreadText: # Is it possible to create a named entity recognition system without using POS tagging in the corpus?
  
  (Asked by: username_0 on 2020-06-30)
  
  Is it possible to create a named entity recognition system without using POS tagging in the corpus?
  
  **Tags:** natural-language-processing, named-entity-recognition, pos-tagging
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2020-07-01. Score: 2
  
  Yes, both of them are different tasks. POS tagging helps NER systems but it is not necessary. You can get features (say BERT/ELMo embedding) for each word in the sentence and train a CRF NER model. This looks like simple example <https://www.pragnakalp.com/bert-named-entity-recognition-ner-tutorial-demo/>
  
  
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