activity
20152017
most citedInteractive Attention Networks for Aspect-Level Sentiment Classification

128 citations · 195 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20176 cited

Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing

Xu Sun, Weiwei Sun, Shuming Ma +4

Recent systems on structured prediction focus on increasing the level of structural dependencies within the model. However, our study suggests that complex structures entail high o…

cs.AI2017128 cited

Interactive Attention Networks for Aspect-Level Sentiment Classification

Dehong Ma, Sujian Li, Xiaodong Zhang +1

Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in s…

cs.CL20175 cited

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization

Shuming Ma, Xu Sun, Jingjing Xu +3

Current Chinese social media text summarization models are based on an encoder-decoder framework. Although its generated summaries are similar to source texts literally, they have…

cs.LG2016

Towards Label Imbalance in Multi-label Classification with Many Labels

Li Li, Houfeng Wang

In multi-label classification, an instance may be associated with a set of labels simultaneously. Recently, the research on multi-label classification has largely shifted its focus…

cs.CL201556 cited

A Dependency-Based Neural Network for Relation Classification

Yang Liu, Furu Wei, Sujian Li +3

Previous research on relation classification has verified the effectiveness of using dependency shortest paths or subtrees. In this paper, we further explore how to make full use o…