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

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/.

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Genre: Conference Paper
Latex : {AnnoCTR}: {A} Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports

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 Creators:
Lange, Lukas1, Author
Müller, Marc1, Author
Torbati, Ghazaleh Haratinezhad2, Author           
Milchevski, Dragan1, Author
Grau, Patrick1, Author
Pujari, Subhash Chandra1, Author
Friedrich, Annemarie1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 20242024
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Lange_LREC24
URI: https://aclanthology.org/2024.lrec-main.103/
 Degree: -

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Title: Joint International Conference on Computational Linguistics, Language Resources and Evaluation
Place of Event: Torino, Italy
Start-/End Date: 2024-05-20 - 2024-05-25

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Title: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation
  Abbreviation : LREC-COLING 2024
  Subtitle : Main Conference Proceedings
Source Genre: Proceedings
 Creator(s):
Calzolari, Nicoletta1, Editor
Kan, Min-Yen1, Editor
Hoste, Veronique1, Editor
Lenci, Alessandro1, Editor
Sakti, Sakriani1, Editor
Xue, Nianwen1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: ELRA Language Resources Association
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1147 - 1160 Identifier: ISBN: 978-2-493814-10-4