论文标题
通过预处理和后处理管道的下游变压器生成问答对
Downstream Transformer Generation of Question-Answer Pairs with Preprocessing and Postprocessing Pipelines
论文作者
论文摘要
我们提出了一个称为TP3的系统，以执行变形金刚从给定文章生成问题解答对（QAPS）的下游任务。 TP3第一个芬特列在QAP数据集上预处理变压器，然后使用预处理管道选择适当的答案，为相关的句子提供适当的答案以及对命名的变压器的答案以生成候选QAPS，最后使用后处理管道来过滤量不足。特别是，使用预估计的T5模型作为变压器，将小队数据集用作FINETRUNUNING数据集，我们表明TP3在Gaokao-en数据集上生成了具有高品质的令人满意的QAPS。
We present a system called TP3 to perform a downstream task of transformers on generating question-answer pairs (QAPs) from a given article. TP3 first finetunes pretrained transformers on QAP datasets, then uses a preprocessing pipeline to select appropriate answers, feeds the relevant sentences and the answer to the finetuned transformer to generate candidate QAPs, and finally uses a postprocessing pipeline to filter inadequate QAPs. In particular, using pretrained T5 models as transformers and the SQuAD dataset as the finetruning dataset, we show that TP3 generates satisfactory number of QAPs with high qualities on the Gaokao-EN dataset.
