ECENet: Explainable and Context-Enhanced Network for Muti-modal Fact verification-Reference-Cited by-同舟云学术

ECENet: Explainable and Context-Enhanced Network for Muti-modal Fact verification

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Zhang Fanrui¹^ORCID,Liu Jiawei¹^ORCID,Zhang Qiang¹^ORCID,Sun Esther²^ORCID,Xie Jingyi¹^ORCID,Zha Zheng-Jun¹^ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. University of Toronto, Toronto, Canada

Funder

National Natural Science Foundation of China (NSFC) under Grants

National Key R&D Program of China under Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612183

Reference51 articles.

1. Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources

2. Shruti Agarwal , Hany Farid , Yuming Gu , Mingming He , Koki Nagano , and Hao Li . 2019 . Protecting World Leaders Against Deep Fakes .. In Proceedings of the IEEE Conference Workshops on Computer Vision and Pattern Recognition. 38--48 . Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, and Hao Li. 2019. Protecting World Leaders Against Deep Fakes.. In Proceedings of the IEEE Conference Workshops on Computer Vision and Pattern Recognition. 38--48.

3. Where is Your Evidence: Improving Fact-checking by Justification Modeling

4. Pepa Atanasova , Jakob Grue Simonsen , Christina Lioma, and Isabelle Augenstein. 2020 . Generating Fact Checking Explanations . arxiv: 2004.05773 [cs.CL] Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, and Isabelle Augenstein. 2020. Generating Fact Checking Explanations. arxiv: 2004.05773 [cs.CL]

5. Freebase

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