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Home/e-Resources/Artificial Intelligence & Machine Learning/CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network
Conference ProceedingsArtificial Intelligence & Machine Learning

CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network

2021

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Abstract & Overview

Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

Cite this record

Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej S Cichocki, Qibin Zhao, Wanzeng Kong (2021). CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. https://doi.org/10.18653/v1/2021.acl-long.412

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Tang, J., Li, K., Jin, X., Cichocki, A. S., Zhao, Q., & Kong, W. (2021). CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. https://doi.org/10.18653/v1/2021.acl-long.412
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