22 citations · 55 across the 5 of their papers we have counts for
7 papers · 1 filter
Challenges for Open-domain Targeted Sentiment Analysis
Yun Luo, Hongjie Cai, Linyi Yang +3
Since previous studies on open-domain targeted sentiment analysis are limited in dataset domain variety and sentence level, we propose a novel dataset consisting of 6,013 human-lab…
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…
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…
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…
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…
Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention
Shiliang Zheng, Rui Xia
Deep learning techniques have achieved success in aspect-based sentiment analysis in recent years. However, there are two important issues that still remain to be further studied,…