activity
20172022
most citedAspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder

9 citations · 24 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CL20225 cited

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…

cs.CV20221 cited

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…

cs.CL20215 cited

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…

cs.DL20211 cited

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…

cs.CL20209 cited

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…

cs.DL2020

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…