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Hybrid Multimodal Fusion for Humor Detection. (arXiv:2209.11949v1 [cs.LG])
Sept. 27, 2022, 1:14 a.m. | Haojie Xu, Weifeng Liu, Jingwei Liu, Mingzheng Li, Yu Feng, Yasi Peng, Yunwei Shi, Xiao Sun, Meng Wang
cs.CL updates on arXiv.org arxiv.org
In this paper, we present our solution to the MuSe-Humor sub-challenge of the
Multimodal Emotional Challenge (MuSe) 2022. The goal of the MuSe-Humor
sub-challenge is to detect humor and calculate AUC from audiovisual recordings
of German football Bundesliga press conferences. It is annotated for humor
displayed by the coaches. For this sub-challenge, we first build a discriminant
model using the transformer module and BiLSTM module, and then propose a hybrid
fusion strategy to use the prediction results of each modality …
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