مؤتمر
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
| العنوان: | longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. |
|---|---|
| المؤلفون: | Kovatchev, Venelin, Chatterjee, Trina, Govindarajan, Venkata S, Chen, Jifan, Choi, Eunsol, Chronis, Gabriella, Das, Anubrata, Erk, Katrin, Lease, Matthew, Li, Junyi Jessy, Wu, Yating, Mahowald, Kyle |
| المصدر: | Proceedings of the First Workshop on Dynamic Adversarial Data Collection |
| بيانات النشر: | Association for Computational Linguistics |
| سنة النشر: | 2022 |
| نوع الوثيقة: | conference object |
| اللغة: | unknown |
| DOI: | 10.18653/v1/2022.dadc-1.5 |
| الإتاحة: | https://doi.org/10.18653/v1/2022.dadc-1.5Test |
| رقم الانضمام: | edsbas.70022EC6 |
| قاعدة البيانات: | BASE |
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