A Multilingual Dataset of Adversarial Attacks to Automatic Content Scoring Systems

Ronja Laarmann-Quante, Christopher Chandler, Noemi Incirkus, Vitaliia Ruban, Alona Solopov, Luca Steen


Anthology ID:
2024.konvens-main.33
Volume:
Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
Month:
September
Year:
2024
Address:
Vienna, Austria
Editors:
Pedro Henrique Luz de Araujo, Andreas Baumann, Dagmar Gromann, Brigitte Krenn, Benjamin Roth, Michael Wiegand
Venue:
KONVENS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
326–338
Language:
URL:
https://aclanthology.org/2024.konvens-main.33
DOI:
Bibkey:
Cite (ACL):
Ronja Laarmann-Quante, Christopher Chandler, Noemi Incirkus, Vitaliia Ruban, Alona Solopov, and Luca Steen. 2024. A Multilingual Dataset of Adversarial Attacks to Automatic Content Scoring Systems. In Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), pages 326–338, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):
A Multilingual Dataset of Adversarial Attacks to Automatic Content Scoring Systems (Laarmann-Quante et al., KONVENS 2024)
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PDF:
https://aclanthology.org/2024.konvens-main.33.pdf