Difference between revisions of "Corpus Create Annotation Schema By Abner"

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(Created page with "Category:HOWTOs The user can perform a Abner NER (for more details please visit http://gate.ac.uk/sale/tao/splitch16.html#sec:parsers:abner ). Selecting Corpus, the user...")
 
 
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[[Category:HOWTOs]]
 
[[Category:HOWTOs]]
  
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The user can perform a Abner NER (for more details please visit http://gate.ac.uk/sale/tao/splitch16.html#sec:parsers:abner ).
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An NER process can be performed using the Abner algorithm (for more details please visit http://gate.ac.uk/sale/tao/splitch16.html#sec:parsers:abner ).
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Selecting the Corpus object on the clipboard, you should right click over it an choose  '''Corpus -> NER -> Abner Tagger'''
  
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Selecting Corpus, the user must press right mouse button an select  '''Corpus -> NER -> Abner Tagging'''
 
  
 
[[Image:Corpus_Process_NER_Abner.png|1500px|center]]
 
[[Image:Corpus_Process_NER_Abner.png|1500px|center]]
  
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A GUI will be presented. Theuser can select training model for ABNER.
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A GUI will be presented, where you can select the training model to be used with ABNER, from the options:
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'''BIOCREATIVE''' (model trained with the BioCreative corpus).
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'''NLPBA''' (model trained with the NLPBA corpus).
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[[Image:NER_Abner1.png|800px|center]]
 
[[Image:NER_Abner1.png|800px|center]]
  
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'''BIOCREATIVE''' trained on the BioCreative corpus.
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'''Normalization option''' allow to add white space between words delimiters and increase the entity recognition accuracy.
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'''NLPBA''' trained on the NLPBA corpus.
 
  
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Pressing'''Ok button''' the operations has lanched. Abner NER operation will start and a small window will appear, indicating the execution of the operation and estimate time left and progress.
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Pressing '''Ok''' the operation will be launched and a progress window will be shown, indicating the execution of the operation and estimate time left.
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The NER operation will take a few minutes or hours depending number of documents, document size and total resources terms.
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The NER operation will take a few minutes or hours depending on the number of documents and  document size.
  
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When process finishing , a new '''NER Process''' object will be added to the [[Corpora_Load_Corpus|''Corpus Process View'']].
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When the process ends, a new '''NER Process''' object will be added to the clipboard and can be visualized through the  [[Corpora_Load_Corpus|''Corpus Process View'']].

Latest revision as of 16:51, 8 May 2013


An NER process can be performed using the Abner algorithm (for more details please visit http://gate.ac.uk/sale/tao/splitch16.html#sec:parsers:abner ).

Selecting the Corpus object on the clipboard, you should right click over it an choose Corpus -> NER -> Abner Tagger


Corpus Process NER Abner.png


A GUI will be presented, where you can select the training model to be used with ABNER, from the options:

BIOCREATIVE (model trained with the BioCreative corpus).

NLPBA (model trained with the NLPBA corpus).


NER Abner1.png

Normalization option allow to add white space between words delimiters and increase the entity recognition accuracy.

Pressing Ok the operation will be launched and a progress window will be shown, indicating the execution of the operation and estimate time left. The NER operation will take a few minutes or hours depending on the number of documents and document size.

When the process ends, a new NER Process object will be added to the clipboard and can be visualized through the Corpus Process View.

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