Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Educational Question Generation of Children Storybooks via Question Type
  Distribution Learning and Event-Centric Summarization   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.

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The categories of this paper are: econ
0
The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
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The categories of this paper are: eess
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
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The categories of this paper are: nucl-th
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The categories of this paper are: funct-an
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-fin