9 citations · 25 across the 7 of their papers we have counts for
9 papers · 1 filter
Explainable Multimodal Depression Recognition in Clinical Interviews via PHQ-Aligned Symptom Summarization
Wenjie Zheng, Qiming Xie, Jianfei Yu +6
Recent advances in multimodal depression recognition for clinical interviews (MDRC) have demonstrated the potential of AI systems by integrating textual, acoustic, and facial cues.…
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations
Fanfan Wang, Heqing Ma, Jianfei Yu +2
The ability to understand emotions is an essential component of human-like artificial intelligence, as emotions greatly influence human cognition, decision making, and social inter…
In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models
Yunlong Chen, Yaming Zhang, Jianfei Yu +2
Knowledge Base Question Answering (KBQA) aims to answer factoid questions based on knowledge bases. However, generating the most appropriate knowledge base query code based on Natu…
MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis
Hongjie Cai, Nan Song, Zengzhi Wang +7
Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple…
UnifiedABSA: A Unified ABSA Framework Based on Multi-task Instruction Tuning
Zengzhi Wang, Rui Xia, Jianfei Yu
Aspect-Based Sentiment Analysis (ABSA) aims to provide fine-grained aspect-level sentiment information. There are many ABSA tasks, and the current dominant paradigm is to train tas…
Multimodal Emotion-Cause Pair Extraction in Conversations
Fanfan Wang, Zixiang Ding, Rui Xia +2
Emotion cause analysis has received considerable attention in recent years. Previous studies primarily focused on emotion cause extraction from texts in news articles or microblogs…