论文标题
儿童故事书的教育问题通过问题类型分布学习和以事件为中心的摘要
Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization
论文作者
论文摘要
产生有关童话或故事书的教育问题对于提高儿童识字能力至关重要。但是，产生问题以捕捉具有教育意义的童话故事的有趣方面的问题是一项挑战。在本文中，我们提出了一种新颖的问题生成方法，该方法首先了解了输入故事段落的问题类型分布，然后总结了可用于生成高认知需求问题的显着事件。为了训练以事件为中心的摘要器，我们使用由教育问题 - 答案对组成的银样本对基于预训练的变压器进行预训练的序列模型。在一个新提出的教育问题上回答数据集Fairytaleqa，我们在自动和人类评估指标上表现出良好的方法。我们的工作表明有必要分解问题类型分布学习和以事件为中心的教育问题生成的摘要生成。
Generating educational questions of fairytales or storybooks is vital for improving children's literacy ability. However, it is challenging to generate questions that capture the interesting aspects of a fairytale story with educational meaningfulness. In this paper, we propose a novel question generation method that first learns the question type distribution of an input story paragraph, and then summarizes salient events which can be used to generate high-cognitive-demand questions. To train the event-centric summarizer, we finetune a pre-trained transformer-based sequence-to-sequence model using silver samples composed by educational question-answer pairs. On a newly proposed educational question answering dataset FairytaleQA, we show good performance of our method on both automatic and human evaluation metrics. Our work indicates the necessity of decomposing question type distribution learning and event-centric summary generation for educational question generation.
