transformers pytorch cross-lingual exctractive-question-answering multilingual dataset:xquad arxiv:2309.17134 license:apache-2.0 endpoints_compatible region:us
---
datasets:
- xquad
language:
- multilingual
library_name: transformers
license: apache-2.0
metrics:
- f1
- exact_match
tags:
- cross-lingual
- exctractive-question-answering
---

# Description
Best-performing "mBERT-qa-en, skd" model from the paper [Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation](https://arxiv.org/abs/2309.17134).

Check the official [GitHub repository](https://github.com/ccasimiro88/self-distillation-gxlt-qa) to access the code used to implement the methods in the paper. 

**More info coming soon!**

# How to Cite
To cite our work use the following BibTex:
```
@misc{carrino2023promoting,
      title={Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation}, 
      author={Casimiro Pio Carrino and Carlos Escolano and José A. R. Fonollosa},
      year={2023},
      eprint={2309.17134},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```