<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>

CC BY-SA 4.0
2020-07-01T00:49:50.007Z
2020-07-01T00:49:50.007Z
saiRegrefree
<p>Is it possible to create a named entity recognition system without using POS tagging in the corpus?</p>

<natural-language-processing><named-entity-recognition><pos-tagging>
Is it possible to create a named entity recognition system without using POS tagging in the corpus?
Rachmansyah Adhi Widhianto
# 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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