257 citations · 963 across the 48 of their papers we have counts for
7 papers · 1 filter
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning
Jingjing Xu, Xu Sun, Sujian Li +2
In recent years, neural networks have proven to be effective in Chinese word segmentation. However, this promising performance relies on large-scale training data. Neural networks…
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text
Jingjing Xu, Ji Wen, Xu Sun +1
Named Entity Recognition and Relation Extraction for Chinese literature text is regarded as the highly difficult problem, partially because of the lack of tagging sets. In this pap…
Shallow Discourse Parsing with Maximum Entropy Model
Jingjing Xu
In recent years, more research has been devoted to studying the subtask of the complete shallow discourse parsing, such as indentifying discourse connective and arguments of connec…
Improving Social Media Text Summarization by Learning Sentence Weight Distribution
Jingjing Xu
Recently, encoder-decoder models are widely used in social media text summarization. However, these models sometimes select noise words in irrelevant sentences as part of a summary…
Minimal Effort Back Propagation for Convolutional Neural Networks
Bingzhen Wei, Xu Sun, Xuancheng Ren +1
As traditional neural network consumes a significant amount of computing resources during back propagation, \citet{Sun2017mePropSB} propose a simple yet effective technique to alle…
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Shuming Ma, Xu Sun, Jingjing Xu +3
Current Chinese social media text summarization models are based on an encoder-decoder framework. Although its generated summaries are similar to source texts literally, they have…
Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network
Jingjing Xu, Xu Sun
Recent studies have shown effectiveness in using neural networks for Chinese word segmentation. However, these models rely on large-scale data and are less effective for low-resour…