This model is a fine-tuned version of
mdeberta-v3-base for a
novel extractive task
which consists of
identifying the explanation of the correct answer written by medical doctors. The model
has been fine-tuned using the multilingual
https://huggingface.co/datasets/HiTZ/casimedicos-squad dataset,
which includes English, French, Italian and Spanish.
The model scores
74.64 F1 partial match (as defined in
SQuAD extractive QA task) averaged across the 4 languages.
1@misc{goenaga2023explanatory,
2 title={Explanatory Argument Extraction of Correct Answers in Resident Medical Exams},
3 author={Iakes Goenaga and Aitziber Atutxa and Koldo Gojenola and Maite Oronoz and Rodrigo Agerri},
4 year={2023},
5 eprint={2312.00567},
6 archivePrefix={arXiv}
7}
Contact:
Iakes Goenaga and
Rodrigo Agerri
HiTZ Center - Ixa, University of the Basque Country UPV/EHU
