Xinchun Zhang, Weihua Li, Quan-wei Bai, William Liu, Hua Wang
{"title":"A Novel Story Plots Extraction Based Rapid Reading Comprehension System to Assist the Education for Low-income Families","authors":"Xinchun Zhang, Weihua Li, Quan-wei Bai, William Liu, Hua Wang","doi":"10.1109/ITNAC55475.2022.9998397","DOIUrl":null,"url":null,"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.","PeriodicalId":205731,"journal":{"name":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNAC55475.2022.9998397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.