# NER (or span) recipe is just using the tok & ner layers.

**URL:** <https://support.prodi.gy/t/ner-or-span-recipe-is-just-using-the-tok-ner-layers/7113>\
**Category:** Uncategorized\
**Created:** [February 22, 2024, 11:41am UTC](https://support.prodi.gy/t/ner-or-span-recipe-is-just-using-the-tok-ner-layers/7113 "2024-02-22T11:41:10Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![vish](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/vish/32/2258_2.png) [@vish](https://support.prodi.gy/u/vish)\
**Post date:** [February 22, 2024, 11:41am UTC](https://support.prodi.gy/t/ner-or-span-recipe-is-just-using-the-tok-ner-layers/7113/1 "2024-02-22T11:41:10Z")

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the default train recipe is creating a ner layer on top.  
it seems to me that a POS layer would be a great disambiguator. (e.g. I'm looking for a Noun, or noun phrase, never a verb... )  
is this just folded in? (the mistakes i'm saying when I `ner.correct` seem to be mostly avoidable based on POS alone )  
A. why isn't it in the default recipe?  
B. if a add a `config.cfg` how do I make the mode use that data?

am I trying to helicopter-parent the ML process, and I should just let it do ?

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**Author:** ![magdaaniol](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/magdaaniol/32/2787_2.png) [@magdaaniol](https://support.prodi.gy/u/magdaaniol)\
**Post date:** [February 23, 2024, 5:20pm UTC](https://support.prodi.gy/t/ner-or-span-recipe-is-just-using-the-tok-ner-layers/7113/2 "2024-02-23T17:20:57Z")

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Hi @vish,

The short answer to A is that empirically it doesn't prove to be particularly beneficial for most cases and NER and tagger are already looking at the same features i.e tok2vec layer.  
Here's a thread that discusses similar questions: [Does spacy NER model use POS for modelling](https://support.prodi.gy/t/does-spacy-ner-model-use-pos-for-modelling/913)  
Also see this thread on spaCy forum on how to use POS as annotating component for NER if you would like to experiment.
