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@@ -23,8 +23,6 @@ Following the FLAIR guidelines for training a NER model, we trained a model on t
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  This model was developed by [{ collective.ai }](https://collectiveai.io) as part of the [AymurAI](https://www.aymurai.info) project by [DataGenero](https://www.datagenero.org).
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  # About AymurAI, its uses and limitations
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  AymurAI is intended to be used as a tool to address the lack of available data in the judicial system on gender-based violence (GBV) rulings in Latin America. The goal is to increase report levels, build trust in the justice system, and improve access to justice for women and LGBTIQ+ people. AymurAI will generate and maintain anonymized datasets from legal rulings to understand GBV and support policy making, and also contribute to feminist collectives' campaigns.
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@@ -64,10 +62,11 @@ for entity in sentence.get_spans('ner'):
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  This yields the following output:
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  ```
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- # TODO complete this section
 
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  ```
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- ## Using the model in aymurai platform
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  Please refeer to [aymurai.info](https://www.aymurai.info) for more information of the full platform.
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  You can also check the development repository [here](https://github.com/aymurai/dev).
@@ -86,14 +85,36 @@ Due to the nature of the data (personal data, complaint characteristics and vict
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  ## Metrics
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- | label | precision | recall | f1-score |
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- |-----------------------------------------------------|-----------|--------|----------|
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- ```
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- # TODO complete this section
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## GitHub
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- You can see our open-source development [here](https://github.com/AymurAI/)
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  ## Citation
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  Please cite [the following paper](https://drive.google.com/file/d/1P-hW0JKXWZ44Fn94fDVIxQRTExkK6m4Y/view) when using AymurAI:
 
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  This model was developed by [{ collective.ai }](https://collectiveai.io) as part of the [AymurAI](https://www.aymurai.info) project by [DataGenero](https://www.datagenero.org).
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  # About AymurAI, its uses and limitations
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  AymurAI is intended to be used as a tool to address the lack of available data in the judicial system on gender-based violence (GBV) rulings in Latin America. The goal is to increase report levels, build trust in the justice system, and improve access to justice for women and LGBTIQ+ people. AymurAI will generate and maintain anonymized datasets from legal rulings to understand GBV and support policy making, and also contribute to feminist collectives' campaigns.
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  This yields the following output:
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  ```
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+ Span[22:25]: "EZEQUIEL CAMILO MARCONNI" → PER (0.9541)
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+ Span[27:28]: "11.222.333" → DNI (1.0)
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  ```
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+ ## Using the model in AymurAI platform
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  Please refeer to [aymurai.info](https://www.aymurai.info) for more information of the full platform.
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  You can also check the development repository [here](https://github.com/aymurai/dev).
 
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  ## Metrics
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+ | label | precision | recall | f1-score |
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+ |------------------|-----------|----------|----------|
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+ | BANCO| 1.00| 0.90| 0.95|
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+ | CBU| 0.92| 0.92| 0.92|
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+ |CORREO_ELECTRONICO| 1.00| 1.00| 1.00|
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+ | CUIJ| 1.00| 1.00| 1.00|
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+ | CUIT_CUIL| 1.00| 1.00| 1.00|
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+ | DIRECCION| 0.97| 0.85| 0.91|
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+ | DNI| 0.96| 1.00| 0.98|
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+ | EDAD| 1.00| 0.95| 0.97|
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+ | ESTUDIOS| 1.00| 1.00| 1.00|
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+ | FECHA| 1.00| 0.99| 1.00|
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+ | LINK| 1.00| 0.94| 0.97|
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+ | LOC| 0.99| 0.72| 0.83|
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+ | MARCA_AUTOMOVIL| 0.95| 1.00| 0.97|
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+ | NACIONALIDAD| 1.00| 0.94| 0.97|
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+ | NUM_ACTUACION| 0.84| 0.96| 0.90|
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+ | NUM_CAJA_AHORRO| 0.00| 0.00| 0.00|
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+ | NUM_EXPEDIENTE| 0.98| 0.92| 0.95|
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+ | NUM_MATRICULA| 0.33| 0.50| 0.40|
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+ | O| 0.99| 1.00| 1.00|
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+ | PATENTE_DOMINIO| 1.00| 1.00| 1.00|
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+ | PER| 0.98| 0.97| 0.98|
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+ | TELEFONO| 0.97| 1.00| 0.99|
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+ | TEXTO_ANONIMIZAR| 0.98| 0.61| 0.75|
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+ | | | | |
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+ | macro avg| 0.91| 0.88| 0.89|
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  ## GitHub
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+ You can see our open-source development [here](https://github.com/AymurAI/).
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  ## Citation
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  Please cite [the following paper](https://drive.google.com/file/d/1P-hW0JKXWZ44Fn94fDVIxQRTExkK6m4Y/view) when using AymurAI: