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Multi-modal sarcasm detection has attracted much recent attention.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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The measurement of observer agreement for categorical data
J. Richard Landis and Gary G. Koch. 1977 · 1977
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Framewise phoneme classification with bidirectional lstm and other neural network architectures
Alex Graves and Jürgen Schmidhuber. 2005 · 2005
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Opinion mining and sentiment analysis
Bo Pang and Lillian Lee. 2008 · 2008
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Interrater reliability: the kappa statistic
Mary L. McHugh. 2012 · 2012
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Indonesian social media sentiment analysis with sarcasm detection
Edwin Lunando and Ayu Purwarianti. 2013 · 2013
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Contextualized sarcasm detection on twitter
David Bamman and Noah A. Smith. 2015 · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015 · 2015
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A deeper look into sarcastic tweets using deep convolutional neural networks
Soujanya Poria, Erik Cambria, Devamanyu Hazarika, and Prateek Vij. 2016 · 2016
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Detecting sarcasm in multimodal social platforms
Rossano Schifanella, Paloma de Juan, Joel Tetreault, and LiangLiang Cao. 2016 · 2016
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Tweet sarcasm detection using deep neural network
Meishan Zhang, Yue Zhang, and Guohong Fu. 2016 · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Multimodal keyless attention fusion for video classification
Xiang Long, Chuang Gan, Gerard Melo, Xiao Liu, Yandong Li, Fu Li, and Shilei Wen. 2018 · 2018
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Multimodal machine learning: A survey and taxonomy
Tadas Baltrusaitis, Chaitanya Ahuja, and Louis-Philippe Morency. 2019 · 2019
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Multi-modal sarcasm detection in Twitter with hierarchical fusion model
Yitao Cai, Huiyu Cai, and Xiaojun Wan. 2019 · 2019
Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
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Reasoning with multimodal sarcastic tweets via modeling cross-modality contrast and semantic association
Nan Xu, Zhixiong Zeng, and Wenji Mao. 2020 · 2020
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Clip-art: Contrastive pre-training for fine-grained art classification
Marcos V. Conde and Kerem Turgutlu. 2021 · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021 · 2021
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Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
Sarcasm detection with self-matching networks and low-rank bilinear pooling
Tao Xiong, Peiran Zhang, Hongbo Zhu, and Yihui Yang. 2019 · 2019
Cited alongside, same era.
Affective and contextual embedding for sarcasm detection
Nastaran Babanejad, Heidar Davoudi, Aijun An, and Manos Papagelis. 2020 · 2020
Cited alongside, same era.
Modeling intra and inter-modality incongruity for multi-modal sarcasm detection
Hongliang Pan, Zheng Lin, Peng Fu, Yatao Qi, and Weiping Wang. 2020 · 2020
Cited alongside, same era.
Bin Liang, Chenwei Lou, Xiang Li, Lin Gui, Min Yang, and Ruifeng Xu. 2021 · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
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Cma-clip: Cross-modality attention clip for text-image classification
Jinmiao Fu, Shaoyuan Xu, Huidong Liu, Yang Liu, Ning Xie, Chien-Chih Wang, Jia Liu, Yi Sun, and Bryan Wang. 2022 · 2022
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Multi-modal sarcasm detection via cross-modal graph convolutional network
Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, and Ruifeng Xu. 2022 · 2022
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Towards multi-modal sarcasm detection via hierarchical congruity modeling with knowledge enhancement
Hui Liu, Wenya Wang, and Haoliang Li. 2022 · 2022
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Multimodal fake news detection via clip-guided learning
Yangming Zhou, Qichao Ying, Zhenxing Qian, Sheng Li, and Xinpeng Zhang. 2022 · 2022
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