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README.md
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---
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pipeline_tag: text2text-generation
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tags:
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- STIX
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- NER
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- RE
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- CTI
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- cyber threat intelligence
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metrics:
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- f1: 0.4064894147513486
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- recall : 0.4463734567901234
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- precision : 0.37314814814814806
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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- Model to extract Relations from cyber threat intelligence(CTI) text.
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- Standalone Model:
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- **Developed by:** Leon Lukas
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- **Model type:** seq2seq
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- **Language(s) (NLP): English
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- **Finetuned from model : mrmoor/cti-t5-RE-NYT (T5 model trained on NYT RE)
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### Metrics test set
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- precision: 0.3141203703703703
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- recall: 0.37442129629629634,
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- f1 : 0.34163032380169717
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/l0renor/Relation-Extraction-and-Knowledge-Graph-Generation-on-MISP-Event-Reports
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- **Paper [optional]:** https://github.com/l0renor/Relation-Extraction-and-Knowledge-Graph-Generation-on-MISP-Event-Reports
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