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README.md
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The **AITSecNER** model was fine-tuned using the [urchade/gliner_small](https://huggingface.co/urchade/gliner_small) model from Hugging Face on the [priamai/AnnoCTR dataset](https://huggingface.co/datasets/priamai/AnnoCTR). For more details about the dataset, see the paper ["AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports"](https://arxiv.org/abs/2305.10472).
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## About
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**AITSecNER** leverages GLiNER to quickly and accurately extract cybersecurity-specific entities, making it highly suitable for tasks such as:
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- Cyber threat intelligence analysis
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- Incident response documentation
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- Automated cybersecurity reporting
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The **AITSecNER** model was fine-tuned using the [urchade/gliner_small](https://huggingface.co/urchade/gliner_small) model from Hugging Face on the [priamai/AnnoCTR dataset](https://huggingface.co/datasets/priamai/AnnoCTR). For more details about the dataset, see the paper ["AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports"](https://arxiv.org/abs/2305.10472).
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GLiNER is described in detail in the paper ["GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer"](https://arxiv.org/abs/2311.08526).
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## About
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**AITSecNER** leverages GLiNER to quickly and accurately extract cybersecurity-specific entities, making it highly suitable for tasks such as:
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- Cyber threat intelligence analysis
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- Incident response documentation
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- Automated cybersecurity reporting
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