模型:
ixa-ehu/SciBERT-SQuAD-QuAC
这是针对问答任务进行微调的SciBERT模型。SciBERT是基于BERT的预训练语言模型,它是在大量科学文本语料库上进行训练的。在进行问答微调时,我们结合了 SQuAD2.0 和 QuAC 数据集。
如果使用此模型,请引用以下论文:
@inproceedings{otegi-etal-2020-automatic, title = "Automatic Evaluation vs. User Preference in Neural Textual {Q}uestion{A}nswering over {COVID}-19 Scientific Literature", author = "Otegi, Arantxa and Campos, Jon Ander and Azkune, Gorka and Soroa, Aitor and Agirre, Eneko", booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020", month = dec, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.nlpcovid19-2.15", doi = "10.18653/v1/2020.nlpcovid19-2.15", }