Transformer-based Multimodal Contextual Co-encoding for Humour Detection

Author:

Deng Boya1,Tian Jiayin1,Li Hao2

Affiliation:

1. Communication University of China,School of Information and Communication Engineering,Beijing,China

2. Networks Laboratory,Science and Technology on Communication,Shijiazhuang,China

Funder

Communication University of China

Publisher

IEEE

Reference27 articles.

1. UO UPV: Deep linguistic humor detection in Spanish social media;ortega-bueno;Proceedings of the third workshop on evaluation of human language technologies for Iberian languages (IberEval 2018) co-located with 34th conference of the Spanish society for natural language processing (SEPLN2018),2018

2. UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

3. Unsupervised Multimodal Language Representations using Convolutional Autoencoders;koromilas;arXiv preprint arXiv 2110 07058,2021

4. Efficient estimation of word representations in vector space;mikolov;arXiv preprint arXiv 1301 3781,2013

5. Exploiting syntactic structures for humor recognition;liu;Proceedings of the 27th International Conference on Computational Linguistics,2018

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