Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering

Arij Riabi
Arij Riabi
Rachel Keraron
Rachel Keraron
Cited by: 0|Views9

Abstract:

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 in English, and the performances of state-of-the-art multilingual models are significantly lower when evaluated on non-English data. Due to high data collectio...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments