Ontology Learning in Chinese Text

2011 ◽  
pp. 71-98
Author(s):  
Edward H. Y. Lim ◽  
James N. K. Liu ◽  
Raymond S. T. Lee
Keyword(s):  
Chinese Text ◽  
Ontology Learning

DYNAMIC CHINESE TEXT ON A SINGLE-LINE DISPLAY: EFFECTS OF PRESENTATION MODE

2005 ◽  
Vol 100 (3) ◽  
pp. 1021 ◽  
Author(s):  
KONG-KING SHIEH
Keyword(s):  
Chinese Text ◽  
Presentation Mode ◽  
Single Line

Objective Evaluation Methods for Chinese Text-To-Speech Systems

2016 ◽  
Author(s):  
Teng Zhang ◽  
Zhipeng Chen ◽  
Ji Wu ◽  
Sam Lai ◽  
Wenhui Lei ◽  
...  
Keyword(s):  
Chinese Text ◽  
Objective Evaluation ◽  
Evaluation Methods ◽  
Text To Speech

An Empirical Study on Joint Entities-relations Extraction of Chinese Text Based on BERT

2020 ◽  
Author(s):  
Zhensheng Hu ◽  
Hua Yin ◽  
Guanglong Xu ◽  
Yi Zhai ◽  
Danbei Pan ◽  
...  
Keyword(s):  
Empirical Study ◽  
Chinese Text

Joint Extraction of Entities and Relations for Chinese Text of Tea

2020 ◽  
Author(s):  
Zihao Zhou ◽  
Wenqian Mu ◽  
Xiaoxia Yang ◽  
Qi Li ◽  
Zhenzhen Chen
Keyword(s):  
Chinese Text

Building Electronic Commerce Recommendation System Based on Ontology Learning and BP Neural Network

2013 ◽  
Vol 718-720 ◽  
pp. 1961-1966
Author(s):  
Hong Sheng Xu ◽  
Qing Tan
Keyword(s):  
Neural Network ◽  
Electronic Commerce ◽  
Bp Neural Network ◽  
Optimization Problem ◽  
Recommendation System ◽  
High Efficiency ◽  
Ontology Learning ◽  
The Neural Network ◽  
Network Process ◽  
Hidden Layer

Electronic commerce recommendation system can effectively retain user, prevent users from erosion, and improve e-commerce system sales. BP neural network using iterative operation, solving the weights of the neural network and close values to corresponding network process of learning and memory, to join the hidden layer nodes of the optimization problem of adjustable parameters increase. Ontology learning is the use of machine learning and statistical techniques, with automatic or semi-automatic way, from the existing data resources and obtaining desired body. The paper presents building electronic commerce recommendation system based on ontology learning and BP neural network. Experimental results show that the proposed algorithm has high efficiency.

scholarly journals “Hang the Flesh off the Bones”: Cultivating an “Ideal Body” in Taijiquan and Neigong

2021 ◽  
Vol 18 (9) ◽  
pp. 4417
Author(s):  
Xiujie Ma ◽  
George Jennings
Keyword(s):  
Physical Education ◽  
Life Course ◽  
Chinese Text ◽  
Cross Cultural ◽  
Transmission Of Knowledge ◽  
Ideal Body ◽  
The Ancient Chinese ◽  
The Life Course ◽  
The Ideal

In a globalized, media-driven society, people are being exposed to different cultural and philosophical ideas. In Europe, the School of Internal Arts (pseudonym) follows key principles of the ancient Chinese text The Yijinjing (The Muscle-Tendon Change Classic) “Skeleton up, flesh down”, in its online and offline pedagogy. This article draws on an ongoing ethnographic, netnographic and cross-cultural investigation of the transmission of knowledge in this atypical association that combines Taijiquan with a range of practices such as Qigong, body loosening exercises and meditation. Exploring the ideal body cultivated by the students, we describe and illustrate key (and often overlooked) body areas—namely the spine, scapula, Kua and feet, which are continually worked on in the School of Internal Arts’ exercise-based pedagogy. We argue that Neigong and Taijiquan, rather than being forms of physical education, are vehicles for adult physical re-education. This re-education offers space in which mind-body tension built over the life course are systematically released through specific forms of attentive, meditative exercise to lay the foundations for a strong, powerful body for martial artistry and health.

scholarly journals Hybrid Chinese text classification model based on pretraining model

2021 ◽  
Vol 1961 (1) ◽  
pp. 012002
Author(s):  
Xing Zhaoye ◽  
Liu Xiaoqun ◽  
Sun Peijie
Keyword(s):  
Chinese Text ◽  
Text Classification ◽  
Classification Model ◽  
Chinese Text Classification ◽  
Model Based
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