Knowledge Commons of Institute of Automation,CAS
Tri-relational multi-faceted graph neural networks for automatic question tagging | |
Nuojia Xu1,2; Jun Hu3; Quan Fang4; Dizhan Xue1,2; Yongxi Li1,2; Shengsheng Qian1,2 | |
发表期刊 | Neurocomputing |
ISSN | 0925-2312 |
2024-04-01 | |
卷号 | 576页码:127250 |
通讯作者 | Fang, Quan(qfang@bupt.edu.cn) |
摘要 | Automatic question tagging is a crucial task in Community Question Answering (CQA) systems such as Zhihu or Quora, as it can significantly enhance the user experience by improving the efficiency of question answering and expert recommendations. Graph-based collaborative filtering models show promising performance on this task, as they can exploit not only the semantics of text content but also the existing relations between questions and tags. However, existing approaches typically encode each question into a single vector, which may not be able to capture the diverse semantic facets of questions in CQA systems. |
关键词 | Graph Neural Networks Community Question Answering Question Tagging |
DOI | 10.1016/j.neucom.2024.127250 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[62036012] ; National Natural Science Foundation of China[62072456] ; National Natural Science Foundation of China[62106262] ; SMP-IDATA Open Youth Fund ; Beijing Natural Science Foundation, China[L221004] ; Beijing Natural Science Foundation, China[JQ23018] |
项目资助者 | National Natural Science Foundation of China ; SMP-IDATA Open Youth Fund ; Beijing Natural Science Foundation, China |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:001172432100001 |
出版者 | ELSEVIER |
七大方向——子方向分类 | 数据挖掘 |
国重实验室规划方向分类 | 多模态协同认知 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57165 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
通讯作者 | Quan Fang |
作者单位 | 1.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.School of Computing, National University of Singapore 4.School of Artificial Intelligence, Beijing University of Posts and Telecommunications |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Nuojia Xu,Jun Hu,Quan Fang,et al. Tri-relational multi-faceted graph neural networks for automatic question tagging[J]. Neurocomputing,2024,576:127250. |
APA | Nuojia Xu,Jun Hu,Quan Fang,Dizhan Xue,Yongxi Li,&Shengsheng Qian.(2024).Tri-relational multi-faceted graph neural networks for automatic question tagging.Neurocomputing,576,127250. |
MLA | Nuojia Xu,et al."Tri-relational multi-faceted graph neural networks for automatic question tagging".Neurocomputing 576(2024):127250. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
neuro_xu.pdf(2105KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论