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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Meng, Wang | - |
| dc.contributor.author | Yinghui, Shi | - |
| dc.contributor.author | Han, Yang | - |
| dc.date.accessioned | 2023-04-07T09:19:38Z | - |
| dc.date.available | 2023-04-07T09:19:38Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s41019-023-00208-9 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7685 | - |
| dc.description | CC BY | vi |
| dc.description.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 impacts are non-negligible as injecting images without constraints brings much noise. It also remains unknown under what circumstances or to what extent visual context is truly helpful to the task. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | entity alignment | vi |
| dc.title | Probing the Impacts of Visual Context in Multimodal Entity Alignment | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Công nghệ thông tin | ||
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