CASIA OpenIR  > 多模态人工智能系统全国重点实验室  > 多媒体计算
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
Source PublicationNeurocomputing
ISSN0925-2312
2024-04-01
Volume576Pages:127250
Corresponding AuthorFang, Quan(qfang@bupt.edu.cn)
Abstract

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.
To address this challenge, we propose a novel question-tagging framework, named Tri-Relational Multi-Faceted Graph Neural Networks (TRMFG) for Automatic Question Tagging. In TRMFG, a tri-relational graph structure is designed to better model the question-tag relations.
We also propose tri-relational question-tag GNN to extract hidden latent representations of questions and tags. Specially, the Multi-Faceted Question GNN helps capture the diverse semantics of questions from relevant tags. Then we build a multiple matching component to capture more complex matching patterns of the questions based on the diverse semantics. Our experimental results on three benchmark datasets demonstrate that TRMFG significantly improves question tagging performance for CQA, outperforming the state-of-the-art methods. 

KeywordGraph Neural Networks Community Question Answering Question Tagging
DOI10.1016/j.neucom.2024.127250
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; SMP-IDATA Open Youth Fund ; Beijing Natural Science Foundation, China
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:001172432100001
PublisherELSEVIER
Sub direction classification数据挖掘
planning direction of the national heavy laboratory多模态协同认知
Paper associated data
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57165
Collection多模态人工智能系统全国重点实验室_多媒体计算
Corresponding AuthorQuan Fang
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
neuro_xu.pdf(2105KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Nuojia Xu]'s Articles
[Jun Hu]'s Articles
[Quan Fang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Nuojia Xu]'s Articles
[Jun Hu]'s Articles
[Quan Fang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Nuojia Xu]'s Articles
[Jun Hu]'s Articles
[Quan Fang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: neuro_xu.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.