Papers with cross-lingual generative reader
Ask Me Anything in Your Native Language (2022.naacl-main)
Copied to clipboard
| Challenge: | Cross-lingual question answering systems are becoming more and more important . a new approach can be generalized to more than 20 languages and outperforms previous models by 12% . |
| Approach: | They propose a cross-lingual question answering system that can be generalized to more than 20 languages . their approach can outperform previous models by 12% on multiple languages based on a dataset . |
| Outcome: | The proposed approach outperforms the previous models on multiple languages by 12% . it can be generalized to more than 20 languages and outperformed all previous models by 2% . |