Difference between revisions of "Corpus Create Annotation Schema By Abner"
Anote2Wiki (talk | contribs) |
|||
| (8 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
[[Category:HOWTOs]] | [[Category:HOWTOs]] | ||
| − | + | 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''' | ||
| − | |||
[[Image:Corpus_Process_NER_Abner.png|1500px|center]] | [[Image:Corpus_Process_NER_Abner.png|1500px|center]] | ||
| + | |||
A GUI will be presented, where you can select the training model to be used with ABNER, from the options: | A GUI will be presented, where you can select the training model to be used with ABNER, from the options: | ||
| Line 12: | Line 14: | ||
'''NLPBA''' (model trained with the NLPBA corpus). | '''NLPBA''' (model trained with the NLPBA corpus). | ||
| + | |||
[[Image:NER_Abner1.png|800px|center]] | [[Image:NER_Abner1.png|800px|center]] | ||
| − | Pressing '''Ok''' the operation will be launched and a progress window will | + | '''Normalization option''' allow to add white space between words delimiters and increase the entity recognition accuracy. |
| − | The NER operation will take a few minutes or hours depending on the number of documents | + | |
| + | 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 | + | 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
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).
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.
