initial model commit
Browse files
README.md
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@@ -58,8 +58,8 @@ for entity in sentence.get_spans('ner'):
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This yields the following output:
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```
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Span [1,2]: "George Washington" [− Labels: PER (0.
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Span [5]: "Washington" [− Labels: LOC (0.
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```
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So, the entities "*George Washington*" (labeled as a **person**) and "*Washington*" (labeled as a **location**) are found in the sentence "*George Washington ging naar Washington*".
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@@ -120,3 +120,10 @@ Please cite the following paper when using this model.
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year = {2018}
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}
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```
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This yields the following output:
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```
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Span [1,2]: "George Washington" [− Labels: PER (0.997)]
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Span [5]: "Washington" [− Labels: LOC (0.9996)]
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```
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So, the entities "*George Washington*" (labeled as a **person**) and "*Washington*" (labeled as a **location**) are found in the sentence "*George Washington ging naar Washington*".
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year = {2018}
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}
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```
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---
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### Issues?
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The Flair issue tracker is available [here](https://github.com/flairNLP/flair/issues/).
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