29 citations · 65 across the 10 of their papers we have counts for
5 papers · 1 filter
Label-guided Learning for Text Classification
Xien Liu, Song Wang, Xiao Zhang +3
Text classification is one of the most important and fundamental tasks in natural language processing. Performance of this task mainly dependents on text representation learning. C…
Tensor Graph Convolutional Networks for Text Classification
Xien Liu, Xinxin You, Xiao Zhang +2
Compared to sequential learning models, graph-based neural networks exhibit some excellent properties, such as ability capturing global information. In this paper, we investigate g…
Learning Conceptual-Contextual Embeddings for Medical Text
Xiao Zhang, Dejing Dou, Ji Wu
External knowledge is often useful for natural language understanding tasks. We introduce a contextual text representation model called Conceptual-Contextual (CC) embeddings, which…
Delta Embedding Learning
Xiao Zhang, Ji Wu, Dejing Dou
Unsupervised word embeddings have become a popular approach of word representation in NLP tasks. However there are limitations to the semantics represented by unsupervised embeddin…
Medical Exam Question Answering with Large-scale Reading Comprehension
Xiao Zhang, Ji Wu, Zhiyang He +2
Reading and understanding text is one important component in computer aided diagnosis in clinical medicine, also being a major research problem in the field of NLP. In this work, w…