2 citations · 5 across the 4 of their papers we have counts for
4 papers
Multimodal Interaction Modeling via Self-Supervised Multi-Task Learning for Review Helpfulness Prediction
HongLin Gong, Mengzhao Jia, Liqiang Jing
In line with the latest research, the task of identifying helpful reviews from a vast pool of user-generated textual and visual data has become a prominent area of study. Effective…
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
Mengzhao Jia, Can Xie, Liqiang Jing
Despite commendable achievements made by existing work, prevailing multimodal sarcasm detection studies rely more on textual content over visual information. It unavoidably induces…
Knowledge-enhanced Memory Model for Emotional Support Conversation
Mengzhao Jia, Qianglong Chen, Liqiang Jing +2
The prevalence of mental disorders has become a significant issue, leading to the increased focus on Emotional Support Conversation as an effective supplement for mental health sup…
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation
Liqiang Jing, Xuemeng Song, Kun Ouyang +2
Multimodal Sarcasm Explanation (MuSE) is a new yet challenging task, which aims to generate a natural language sentence for a multimodal social post (an image as well as its captio…