57 citations · 113 across the 7 of their papers we have counts for
7 papers
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Ruidan He, Wee Sun Lee, Hwee Tou Ng +1
Aspect-based sentiment analysis produces a list of aspect terms and their corresponding sentiments for a natural language sentence. This task is usually done in a pipeline manner,…
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
Ruidan He, Wee Sun Lee, Hwee Tou Ng +1
We consider the cross-domain sentiment classification problem, where a sentiment classifier is to be learned from a source domain and to be generalized to a target domain. Our appr…
Exploiting Document Knowledge for Aspect-level Sentiment Classification
Ruidan He, Wee Sun Lee, Hwee Tou Ng +1
Attention-based long short-term memory (LSTM) networks have proven to be useful in aspect-level sentiment classification. However, due to the difficulties in annotating aspect-leve…
Character-Based Text Classification using Top Down Semantic Model for Sentence Representation
Zhenzhou Wu, Xin Zheng, Daniel Dahlmeier
Despite the success of deep learning on many fronts especially image and speech, its application in text classification often is still not as good as a simple linear SVM on n-gram…
Multi-task memory networks for category-specific aspect and opinion terms co-extraction
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier
In aspect-based sentiment analysis, most existing methods either focus on aspect/opinion terms extraction or aspect terms categorization. However, each task by itself only provides…
Power-saving transportation mode identification for large-scale applications
Yuren Zhou, Jin Wang, Peng Shi +3
Transportation mode detection with personal devices has been investigated for over ten years due to its importance in monitoring ones' activities, understanding human mobility, and…