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@@ -8,4 +8,32 @@ datasets:
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  - conll2003
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  widget:
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  - text: "George Washington went to Washington"
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - conll2003
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  widget:
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  - text: "George Washington went to Washington"
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+ ---
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+
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+ ```python
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+ from flair.data import Sentence
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+ from flair.models import SequenceTagger
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+ # load tagger
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+ tagger = SequenceTagger.load("Saisam/Inquirer_ner_loc")
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+ # make example sentence
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+ sentence = Sentence("George Washington went to Washington")
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+ # predict NER tags
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+ tagger.predict(sentence)
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+ # print sentence
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+ print(sentence)
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+ # print predicted NER spans
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+ print('The following NER tags are found:')
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+ # iterate over entities and print
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+ for entity in sentence.get_spans('ner'):
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+ print(entity)
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+ ```
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+
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+
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+ ```
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+ @inproceedings{akbik2018coling,
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+ title={Contextual String Embeddings for Sequence Labeling},
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+ author={Akbik, Alan and Blythe, Duncan and Vollgraf, Roland},
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+ booktitle = {{COLING} 2018, 27th International Conference on Computational Linguistics},
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+ pages = {1638--1649},
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+ year = {2018}
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+ }