版权说明 操作指南
首页 > 成果 > 详情

S-KMN: Integrating semantic features learning and knowledge mapping network for automatic quiz question annotation

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Wang, Jing;Li, Hao;Du, Xu;Hung, Jui-Long;Yang, Shuoqiu
通讯作者:
Li, H
作者机构:
[Yang, Shuoqiu; Li, H; Li, Hao; Du, Xu; Wang, Jing] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
[Hung, Jui-Long] Cent China Normal Univ, Natl Engn Lab Educationgal Big Data, Wuhan 430079, Peoples R China.
[Hung, Jui-Long] Boise State Univ, Dept Educ Technol, Boise, ID 83725 USA.
通讯机构:
[Li, H ] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Automatic quiz question annotation;Knowledge mapping network;Knowledge attribute graph;Latent knowledge space;Semantic-knowledge features
期刊:
Journal of King Saud University - Computer and Information Sciences
ISSN:
1319-1578
年:
2023
卷:
35
期:
7
页码:
101594
基金类别:
National Natural Science Foundation of China [62177020]; Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China [19YJC880032]; Special Research Project on Teacher Education of CCNU [CCNUTEIII 2021-07]; Teaching Innovation Research Project of CCNU [ZNXBJY202115]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Quiz question annotation aims to assign the most relevant knowledge point to a question, which is a key technology to support intelligent education applications. However, the existing methods only extract the explicit semantic information that reveals the literal meaning of a question, and ignore the implicit knowledge information that highlights the knowledge intention. To this end, an innovative dual-channel model, the Semantic-Knowledge Mapping Network (S-KMN) is proposed to enrich the question representation from two perspectives, semantic and knowledge, simultaneously. It integrates seman...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com