326 citations · 355 across the 4 of their papers we have counts for
4 papers
Balancing Between Over-Weighting and Under-Weighting in Supervised Term Weighting
Haibing Wu, Xiaodong Gu
Supervised term weighting could improve the performance of text categorization. A way proven to be effective is to give more weight to terms with more imbalanced distributions acro…
Max-Pooling Dropout for Regularization of Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in…
Towards Dropout Training for Convolutional Neural Networks
Haibing Wu, Xiaodong Gu
Recently, dropout has seen increasing use in deep learning. For deep convolutional neural networks, dropout is known to work well in fully-connected layers. However, its effect in…
Aspect-based Opinion Summarization with Convolutional Neural Networks
Haibing Wu, Yiwei Gu, Shangdi Sun +1
This paper considers Aspect-based Opinion Summarization (AOS) of reviews on particular products. To enable real applications, an AOS system needs to address two core subtasks, aspe…