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datasets:
- rajpurkar/squad_v2
language:
- es
metrics:
- bleu
- meteor
- rouge
- sari
- google_bleu
- wer
base_model:
- google/mt5-base
pipeline_tag: text2text-generation
library_name: transformers
tags:
- AnswerExtraction
license: gpl-3.0
---
# Citation
If you use this model in your research, please cite the following paper: [Evaluating the performance of multilingual models in answer extraction and question generation.](https://www.nature.com/articles/s41598-024-66472-5)
```
@article{moreno-cediel_evaluating_2024,
title = {Evaluating the performance of multilingual models in answer extraction and question generation},
volume = {14},
copyright = {2024 The Author(s)},
issn = {2045-2322},
url = {https://www.nature.com/articles/s41598-024-66472-5},
doi = {10.1038/s41598-024-66472-5},
language = {en},
number = {1},
urldate = {2025-01-10},
journal = {Scientific Reports},
author = {Moreno-Cediel, Antonio and del-Hoyo-Gabaldon, Jesus-Angel and Garcia-Lopez, Eva and Garcia-Cabot, Antonio and de-Fitero-Dominguez, David},
month = jul,
year = {2024},
note = {Publisher: Nature Publishing Group},
keywords = {Computer science, Software},
pages = {15477},
}
``` |