554 citations · 1.6k across the 46 of their papers we have counts for
6 papers · 1 filter
Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
Yuming Shang
The noisy labeling problem has been one of the major obstacles for distant supervised relation extraction. Existing approaches usually consider that the noisy sentences are useless…
Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation
Wei Wei, Ling Cheng, Xianling Mao +2
Recently, automatic image caption generation has been an important focus of the work on multimodal translation task. Existing approaches can be roughly categorized into two classes…
Deep Hashing for Signed Social Network Embedding
Jia-Nan Guo, Xian-Ling Mao, Xiao-Jian Jiang +3
Network embedding is a promising way of network representation, facilitating many signed social network processing and analysis tasks such as link prediction and node classificatio…
Enhanced 3D convolutional networks for crowd counting
Zhikang Zou, Huiliang Shao, Xiaoye Qu +2
Recently, convolutional neural networks (CNNs) are the leading defacto method for crowd counting. However, when dealing with video datasets, CNN-based methods still process each vi…
Position-Aware Self-Attention based Neural Sequence Labeling
Wei Wei, Zanbo Wang, Xianling Mao +3
Sequence labeling is a fundamental task in natural language processing and has been widely studied. Recently, RNN-based sequence labeling models have increasingly gained attentions…
Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning
Rong-Cheng Tu, Xian-Ling Mao, Bing Ma +4
Due to their high retrieval efficiency and low storage cost, cross-modal hashing methods have attracted considerable attention. Generally, compared with shallow cross-modal hashing…