Hybrid Multimodal Fusion for Humor Detection-Reference-Cited by-同舟云学术

Hybrid Multimodal Fusion for Humor Detection

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge
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Author:

Xu Haojie¹,Liu Weifeng¹,Liu Jiangwei¹,Li Mingzheng²,Feng Yu³,Peng Yasi³,Shi Yunwei¹,Sun Xiao⁴,Wang Meng⁵

Affiliation:

1. AHU-IAI AI Joint Laboratory, Anhui University & Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei , China

2. University of Science and Technology of China & Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei , China

3. School of Biomedical Engineering, Anhui Medical University & Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei , China

4. Hefei University of Technology & ZhongJuYuan Intelligent Technology Co., Ltd, Hefei , China

5. Hefei University of Technology & Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei , China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551876.3554802

Reference45 articles.

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2. MuSe 2022 Challenge

3. Shahin Amiriparian Maurice Gerczuk Sandra Ottl Nicholas Cummins Michael Freitag Sergey Pugachevskiy Alice Baird and Björn Schuller. 2017. Snore sound classification using image-based deep spectrum features. (2017). Shahin Amiriparian Maurice Gerczuk Sandra Ottl Nicholas Cummins Michael Freitag Sergey Pugachevskiy Alice Baird and Björn Schuller. 2017. Snore sound classification using image-based deep spectrum features. (2017).

4. Issa Annamoradnejad and Gohar Zoghi . 2020 . Colbert: Using bert sentence embedding for humor detection. arXiv preprint arXiv:2004.12765 (2020). Issa Annamoradnejad and Gohar Zoghi. 2020. Colbert: Using bert sentence embedding for humor detection. arXiv preprint arXiv:2004.12765 (2020).

5. OpenFace: An open source facial behavior analysis toolkit

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