Probing the Impacts of Visual Context in Multimodal Entity Alignment

Probing the Impacts of Visual Context in Multimodal Entity Alignment

Abstract We study the problem of multimodal embedding-based entity alignment (EA) between different knowledge graphs. Recent works have attempted to incorporate images (visual context) to address EA in a multimodal view. While the benefits of multimodal information have been observed, its negative i...

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Bibliographic Details
Main Authors: Meng Wang, Yinghui Shi, Han Yang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
Format: Article
Language:English
Published: SpringerOpen 2023-04-01
Series:Data Science and Engineering
Subjects:
Entity alignment
Multimodality
Visual context
Knowledge graph
Online Access:https://doi.org/10.1007/s41019-023-00208-9

Internet

https://doi.org/10.1007/s41019-023-00208-9

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