9 citations · 39 across the 13 of their papers we have counts for
13 papers
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.…
Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation
Jinyuan Li, Ziyan Li, Han Li +4
Grounded Multimodal Named Entity Recognition (GMNER) task aims to identify named entities, entity types and their corresponding visual regions. GMNER task exhibits two challenging…
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…
Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis
Yan Ling, Jianfei Yu, Rui Xia
As an important task in sentiment analysis, Multimodal Aspect-Based Sentiment Analysis (MABSA) has attracted increasing attention in recent years. However, previous approaches eith…
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…
A paper's corresponding affiliation and first affiliation are consistent at the country level in Web of Science
Jianfei Yu, Chunxiao Yin, Linlin Liu +1
The purpose of this study is to explore the relationship between the first affiliation and the corresponding affiliation at the different levels via the scientometric analysis We s…
Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder
Yufei Tian, Jianfei Yu, Jing Jiang
In this paper, we study abstractive review summarization.Observing that review summaries often consist of aspect words, opinion words and context words, we propose a two-stage rein…
The dominance of big teams in China's scientific output
Linlin Liu, Jianfei Yu, Junming Huang +2
Modern science is dominated by scientific productions from teams. A recent finding shows that teams with both large and small sizes are essential in research, prompting us to analy…
Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Zixiang Ding, Rui Xia, Jianfei Yu +2
Deep neural networks have recently been shown to achieve highly competitive performance in many computer vision tasks due to their abilities of exploring in a much larger hypothesi…
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce
Jianfei Yu, Minghui Qiu, Jing Jiang +4
In this paper, we study transfer learning for the PI and NLI problems, aiming to propose a general framework, which can effectively and efficiently adapt the shared knowledge learn…