CNERVis: a visual diagnosis tool for Chinese named entity recognition

被引:0
作者
Pei-Shan Lo
Jian-Lin Wu
Syu-Ting Deng
Ko-Chih Wang
机构
[1] National Taiwan Normal University,Department of Computer Science and Information Engineering
来源
Journal of Visualization | 2022年 / 25卷
关键词
visual analytics; Chinese named entity recognition; natural language processing; BiLSTM; sequence labeling;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:653 / 669
页数:16
相关论文
共 43 条
[1]  
Chiu JP(2016)Named entity recognition with bidirectional LSTM-CNNs Trans Assoc Comput Linguist 4 357-370
[2]  
Nichols E(2017)The state of the art in integrating machine learning into visual analytics Comput Graph Forum, Wiley Online Libr 36 458-486
[3]  
Endert A(2019)Deep neural network for hierarchical extreme multi-label text classification Appl Soft Comput 79 125-138
[4]  
Ribarsky W(2000)Learning to forget: Continual prediction with LSTM Neural Comput 12 2451-2471
[5]  
Turkay C(2020)Why attention? Analyze BiLSTM deficiency and its remedies in the case of NER Proc AAAI Conf Artif Intell 34 8236-8244
[6]  
Wong BW(2017)Towards better analysis of machine learning models: a visual analytics perspective Vis Inf 1 48-56
[7]  
Nabney I(1948)A mathematical theory of communication Bell Syst Tech J 27 379-423
[8]  
Blanco ID(2017)Lstmvis: a tool for visual analysis of hidden state dynamics in recurrent neural networks IEEE Trans Vis Comput Graph 24 667-676
[9]  
Rossi F(2018)S eq 2s eq-v is: a visual debugging tool for sequence-to-sequence models IEEE Trans Vis Comput Graph 25 353-363
[10]  
Gargiulo F(2018)Evaluating multi-dimensional visualizations for understanding fuzzy clusters IEEE Trans Vis Comput Graph 25 12-21