Training guidelines update

kermitt2 · Aug 26, 2016 · 5203a6d · 5203a6d
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 # Guidelines for annotation of NAmed Entities Recognition
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 The creation of annotated corpus for Named Entities is the process of find the correct class of named entities for words based on the context. 
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 Grobid-NER can automatically generate training data from text files ( [Link to Page] ), recognising the best named entities with the model currently used. 
 The goal of the annotator is to correct the generated entities by: (1) changing them, (2) extending them to the proximity tokens or (3) removing them.
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 ### Format 
         
 The format the training data is managed is the [CONLL 2003 format](http://www.cnts.ua.ac.be/conll2003/ner/), which is a 2 column tab separated file.