A Novel Story Plots Extraction Based Rapid Reading Comprehension System to Assist the Education for Low-income Families

Xinchun Zhang, Weihua Li, Quan-wei Bai, William Liu, Hua Wang
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Abstract

Poverty has posed many threats to the children's education. Children in low-income families tend to have uneducated and/or very busy parents, and their reading after school is less being instructed and supported by their parents even they want to support but without the capacity and/or sufficient time to read and understand the huge volume of stories and novels. In this paper, we aim to tackle the above challenges and develop a rapid reading comprehension system to assist those parents rapidly understanding the story content by proposing a novel system that is capable of generating and visualising story plots from the massive literature narratives. Meanwhile, the visualised story plots are represented as a sequenced knowledge graph, helping those uneducated or busy parents grasp the story's linguistic meanings and flow. Furthermore, a well-known fiction book, i.e., “Alice in Wonderland” is utilised as case studies to validate the proposed system. The primary experimental results reveal that story plot extraction can effectively provide explicit information for presenting storylines chapter by chapter at the early stage of this research initiative.
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一个基于小说情节提取的辅助低收入家庭教育快速阅读理解系统
贫困给孩子们的教育带来了许多威胁。低收入家庭的孩子往往没有受过教育和/或非常忙碌的父母,他们放学后的阅读很少得到父母的指导和支持,即使他们想要支持,但没有能力和/或足够的时间阅读和理解大量的故事和小说。在本文中,我们旨在解决上述挑战,并开发一个快速阅读理解系统,通过提出一个新颖的系统,能够从大量的文学叙事中生成和可视化故事情节,帮助这些父母快速理解故事内容。同时,将可视化的故事情节以有序的知识图谱的形式呈现,帮助未受教育或忙碌的父母掌握故事的语言意义和流程。此外,我们还以著名的小说《爱丽丝梦游仙境》为例,对所提出的系统进行了验证。初步实验结果表明,在本研究的早期阶段,故事情节提取可以有效地为逐章呈现故事情节提供明确的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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