longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.

no code implementations • NAACL (DADC) 2022 • Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, Yating Wu, Kyle Mahowald

Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability.

Extractive Question-Answering Question Answering

Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources

no code implementations • 28 Nov 2022 • Xinyan Velocity Yu, Akari Asai, Trina Chatterjee, Junjie Hu, Eunsol Choi

While the NLP community is generally aware of resource disparities among languages, we lack research that quantifies the extent and types of such disparity.

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks

no code implementations • 29 Jun 2022 • Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, Yating Wu, Kyle Mahowald

Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability.

Extractive Question-Answering Question Answering