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Update README.md

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@@ -35,6 +35,13 @@ for entity in sentence.get_spans('ner'):
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  print(entity)
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  ```
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  print(entity)
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  ```
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+ This yields the following output:
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+ ```
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+ Span [5,6]: "Henrique Dias" [− Labels: NOME (0.9735)]
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+ Span [31,32]: "Marcelo Arocha" [− Labels: NOME (0.9803)]
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+ ```
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+
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+ So, the entities "*Henrique Dias*" (labeled as a **nome**) and "*Marcelo Arocha*" (labeled as a **nome**) are found in the sentence.
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