405 citations · 2.3k across the 116 of their papers we have counts for
4 papers · 2 filters
Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification
Fenxiao Chen, Bin Wang, C. -C. Jay Kuo
A novel graph-to-tree conversion mechanism called the deep-tree generation (DTG) algorithm is first proposed to predict text data represented by graphs. The DTG method can generate…
Post-Processing of Word Representations via Variance Normalization and Dynamic Embedding
Bin Wang, Fenxiao Chen, Angela Wang +1
Although embedded vector representations of words offer impressive performance on many natural language processing (NLP) applications, the information of ordered input sequences is…
Tree-structured multi-stage principal component analysis (TMPCA): theory and applications
Yuanhang Su, Ruiyuan Lin, C. -C. Jay Kuo
A PCA based sequence-to-vector (seq2vec) dimension reduction method for the text classification problem, called the tree-structured multi-stage principal component analysis (TMPCA)…
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis
Yuanhang Su, Yuzhong Huang, C. -C. Jay Kuo
A novel text data dimension reduction technique, called the tree-structured multi-linear principal component anal- ysis (TMPCA), is proposed in this work. Being different from trad…