Model Description Following the FLAIR guidelines for training a NER model, we trained a model on top of BETO embeddings (a spanish version of BERT trained in a spanish corpus) and a BiLSTM CRF architecture. This model was developed by { collective.ai } as part of the AymurAI project by DataGenero. About AymurAI, its uses and limitations 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. AymurAI is still a prototype and is only being implemented in Criminal Court N°10 in the City of Buenos Aires, Argentina. Its capabilities are limited to semi automated data anonymization, collection and analysis, and the results may be subject to limitations such as the quality and consistency of the data, and the availability of the data. Additionally, the effectiveness of AymurAI in addr…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy