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Update README.md

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@@ -11,13 +11,20 @@ inference: false
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  ## English NER in Flair (default model)
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- This is the standard 4-class NER model for English that ships with Flair.
 
 
 
 
 
 
 
 
 
 
 
 
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- Classes:
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- PER (person name)
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- LOC (location name)
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- ORG (organization name)
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- MISC (other names)
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  ### Demo: How to use in Flair
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@@ -46,6 +53,7 @@ for entity in sentence.get_spans('ner'):
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  ```
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  yields the following output:
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-
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- > `Span [1,2]: "George Washington" [− Labels: PER (0.9968)]
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- Span [5]: "Washington" [− Labels: LOC (0.9994)]`
 
 
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  ## English NER in Flair (default model)
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+ This is the standard 4-class NER model for English that ships with Flair, trained on CoNLL-03.
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+
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+ F1-Score: **92,98**
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+
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+ Predicts 4 tags:
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+
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+ | **tag** | **meaning** |
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+ |---------------------------------|-----------|
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+ | PER | person name |
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+ | LOC | location name |
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+ | ORG | organization name |
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+ | MISC | other name |
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+
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  ### Demo: How to use in Flair
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  ```
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  yields the following output:
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+ ```
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+ Span [1,2]: "George Washington" [− Labels: PER (0.9968)]
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+ Span [5]: "Washington" [− Labels: LOC (0.9994)]
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+ ```