模型:

ixa-ehu/SciBERT-SQuAD-QuAC

英文

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 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",
}