27 citations · 33 across the 2 of their papers we have counts for
2 papers
cs.CL2020★ 27 cited
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
Arij Riabi, Thomas Scialom, Rachel Keraron +3
Coupled with the availability of large scale datasets, deep learning architectures have enabled rapid progress on the Question Answering task. However, most of those datasets are i…
cs.CL2020★ 6 cited
Project PIAF: Building a Native French Question-Answering Dataset
Rachel Keraron, Guillaume Lancrenon, Mathilde Bras +5
Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to colle…