515 citations · 1.3k across the 27 of their papers we have counts for
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Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings
Jie Wang, Zhanqiu Zhang, Zhihao Shi +3
Semantic matching models -- which assume that entities with similar semantics have similar embeddings -- have shown great power in knowledge graph embeddings (KGE). Many existing s…
Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence
Hongyang Gao, Yi Liu, Xuan Zhang +1
We study text representation methods using deep models. Current methods, such as word-level embedding and character-level embedding schemes, treat texts as either a sequence of ato…
iCapsNets: Towards Interpretable Capsule Networks for Text Classification
Zhengyang Wang, Xia Hu, Shuiwang Ji
Many text classification applications require models with satisfying performance as well as good interpretability. Traditional machine learning methods are easy to interpret but ha…
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition
Mengnan Du, Ninghao Liu, Fan Yang +2
RNN models have achieved the state-of-the-art performance in a wide range of text mining tasks. However, these models are often regarded as black-boxes and are criticized due to th…