activity
20182022
most citedEmotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

22 citations · 55 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CL201922 cited

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

Rui Xia, Zixiang Ding

Emotion cause extraction (ECE), the task aimed at extracting the potential causes behind certain emotions in text, has gained much attention in recent years due to its wide applica…

cs.CL201913 cited

RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction

Rui Xia, Mengran Zhang, Zixiang Ding

The emotion cause extraction (ECE) task aims at discovering the potential causes behind a certain emotion expression in a document. Techniques including rule-based methods, traditi…

cs.CL201914 cited

From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification

Zixiang Ding, Huihui He, Mengran Zhang +1

Emotion cause identification aims at identifying the potential causes that lead to a certain emotion expression in text. Several techniques including rule based methods and traditi…

cs.LG20191 cited

A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments

Rui Xia, Vincent Y. F. Tan, Louis Filstroff +1

We propose a novel ranking model that combines the Bradley-Terry-Luce probability model with a nonnegative matrix factorization framework to model and uncover the presence of laten…

cs.CL2018

Multimodal Relational Tensor Network for Sentiment and Emotion Classification

Saurav Sahay, Shachi H Kumar, Rui Xia +2

Understanding Affect from video segments has brought researchers from the language, audio and video domains together. Most of the current multimodal research in this area deals wit…

cs.IR2018

Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback

Guang-Neng Hu, Xin-Yu Dai, Feng-Yu Qiu +4

Recommender systems (RSs) provide an effective way of alleviating the information overload problem by selecting personalized items for different users. Latent factors based collabo…