Fetching the paper…
Reading the bibliography…
We have witnessed the rapid proliferation of multimodal data on numerous social media platforms.
Visual attention model for name tagging in multimodal social media
Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, and Heng Ji. 2018 · 1999
Earlier work this paper cites.
Sentiment analysis on multi-view social data
Teng Niu, Shiai Zhu, Lei Pang, and Abdulmotaleb El-Saddik. 2016 · 2016
Earlier work this paper cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al. 2018 · 2018
Earlier work this paper cites.
Adaptive co-attention network for named entity recognition in tweets
Qi Zhang, Jinlan Fu, Xiaoyu Liu, and Xuanjing Huang. 2018 · 2018
Earlier work this paper cites.
Open-domain targeted sentiment analysis via span-based extraction and classification
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, and Yiwei Lv. 2019 · 2019
Earlier work this paper cites.
Adapting BERT for target-oriented multimodal sentiment classification
Jianfei Yu and Jing Jiang. 2019 · 2019
Earlier work this paper cites.
Joint aspect extraction and sentiment analysis with directional graph convolutional networks
Guimin Chen, Yuanhe Tian, and Yan Song. 2020 · 2020
Earlier work this paper cites.
BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Earlier work this paper cites.
Autoprompt: Eliciting knowledge from language models with automatically generated prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh. 2020 · 2020
Earlier work this paper cites.
RIVA: A pre-trained tweet multimodal model based on text-image relation for multimodal NER
Lin Sun, Jiquan Wang, Yindu Su, Fangsheng Weng, Yuxuan Sun, Zengwei Zheng, and Yuanyi Chen. 2020 · 2020
Earlier work this paper cites.
Multimodal aspect extraction with region-aware alignment network
Hanqian Wu, Siliang Cheng, Jingjing Wang, Shoushan Li, and Lian Chi. 2020a · 2020
Earlier work this paper cites.
Multimodal representation with embedded visual guiding objects for named entity recognition in social media posts
Zhiwei Wu, Changmeng Zheng, Yi Cai, Junying Chen, Ho-fung Leung, and Qing Li. 2020b · 2020
Earlier work this paper cites.
Improving multimodal named entity recognition via entity span detection with unified multimodal transformer
Jianfei Yu, Jing Jiang, Li Yang, and Rui Xia. 2020 · 2020
Earlier work this paper cites.
Characterizing signal propagation to close the performance gap in unnormalized resnets
Andrew Brock, Soham De, and Samuel L. Smith. 2021 · 2021
Cited alongside, same era.
Multimodal sentimental analysis for social media applications: A comprehensive review
Ganesh Chandrasekaran, Tu N. Nguyen, and Jude Hemanth D. 2021 · 2021
Cited alongside, same era.
Making pre-trained language models better few-shot learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2021 · 2021
Cited alongside, same era.
Joint multi-modal aspect-sentiment analysis with auxiliary cross-modal relation detection
Xincheng Ju, Dong Zhang, Rong Xiao, Junhui Li, Shoushan Li, Min Zhang, and Guodong Zhou. 2021 · 2021
Cited alongside, same era.
Exploiting BERT for multimodal target sentiment classification through input space translation
Zaid Khan and Yun Fu. 2021 · 2021
Cited alongside, same era.
MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis
Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, and Liang He. 2021 · 2021
Later among the works it cites.
Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen. 2022 · 2022
Later among the works it cites.
A generative language model for few-shot aspect-based sentiment analysis
Ehsan Hosseini-Asl, Wenhao Liu, and Caiming Xiong. 2022 · 2022
Later among the works it cites.
Contrastive learning for prompt-based few-shot language learners
Yiren Jian, Chongyang Gao, and Soroush Vosoughi. 2022 · 2022
Later among the works it cites.
CLMLF: A contrastive learning and multi-layer fusion method for multimodal sentiment detection
Zhen Li, Bing Xu, Conghui Zhu, and Tiejun Zhao. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Xiang Lisa Li and Percy Liang. 2021 · 2021
Cited alongside, same era.
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021 · 2021
Cited alongside, same era.
Clipcap: CLIP prefix for image captioning
Ron Mokady, Amir Hertz, and Amit H. Bermano. 2021 · 2021
Cited alongside, same era.
Multimodal few-shot learning with frozen language models
Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, S. M. Ali Eslami, Oriol Vinyals, and Felix Hill. 2021 · 2021
Cited alongside, same era.
A unified generative framework for aspect-based sentiment analysis
Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu, and Zheng Zhang. 2021 · 2021
Cited alongside, same era.
Fine-grained sentiment analysis of political tweets with entity-aware multimodal network
Li Yang, Jianfei Yu, Chengzhi Zhang, and Jin-Cheon Na. 2021a · 2021
Cited alongside, same era.
Multimodal sentiment detection based on multi-channel graph neural networks
Xiaocui Yang, Shi Feng, Yifei Zhang, and Daling Wang. 2021b · 2021
Cited alongside, same era.
Vision-language pre-training for multimodal aspect-based sentiment analysis
Yan Ling, Jianfei Yu, and Rui Xia. 2022 · 2022
Later among the works it cites.
Face-sensitive image-to-emotional-text cross-modal translation for multimodal aspect-based sentiment analysis
Hao Yang, Yanyan Zhao, and Bing Qin. 2022a · 2022
Later among the works it cites.
Few-shot multi-modal sentiment analysis with prompt-based vision-aware language modeling
Yang Yu and Dong Zhang. 2022 · 2022
Later among the works it cites.
Unified multi-modal pre-training for few-shot sentiment analysis with prompt-based learning
Yang Yu, Dong Zhang, and Shoushan Li. 2022 · 2022
Later among the works it cites.
Promptgen: Automatically generate prompts using generative models
Yue Zhang, Hongliang Fei, Dingcheng Li, and Ping Li. 2022b · 2022
Later among the works it cites.
Learning from adjective-noun pairs: A knowledge-enhanced framework for target-oriented multimodal sentiment classification
Fei Zhao, Zhen Wu, Siyu Long, Xinyu Dai, Shujian Huang, and Jiajun Chen. 2022 · 2022
Later among the works it cites.
Deep learning for aspect-based sentiment analysis: a review
Linan Zhu, Minhao Xu, Yinwei Bao, Yifei Xu, and Xiangjie Kong. 2022 · 2022
Later among the works it cites.
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, and Amir Hussain. 2023 · 2023
Closest in time.