AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques 
in Cyber Threat Reports

Lange, Lukas; Müller, Marc; Torbati, Ghazaleh Haratinezhad; Milchevski, Dragan; Grau, Patrick; Pujari, Subhash Chandra; Friedrich, Annemarie

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AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports

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Torbati, Ghazaleh Haratinezhad
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Lange, L., Müller, M., Torbati, G. H., Milchevski, D., Grau, P., Pujari, S. C., et al. (2024). AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (pp. 1147-1160). ELRA Language Resources Association. Retrieved from https://aclanthology.org/2024.lrec-main.103/.

Cite as: https://hdl.handle.net/21.11116/0000-0010-B5B3-7

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