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://preview.aclanthology.org/fix-sig-urls/2024.konvens-main.33/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.konvens-main.33.pdf