MBCA:Identification of high-value patents using deep learning based language understanding

Author:

Chen Xinying1ORCID,Qiu Yihui1ORCID

Affiliation:

1. Department of Economics and Management, Xiamen University of Technology, China

Funder

Fujian Province Key Laboratory of Green Intelligent Cleaning Technology and Equipmen

Natural Science Foundation of Fujian Province(Grant No:2022J011261)

The Science and Technology Innovation Program for Graduate Students of XMUT (Grant No: YKJCX2021038)

Publisher

ACM

Reference10 articles.

1. A Comparative Study on Patent Quality of Chinese Academic lnstitutions, Chinese Enterprises andAmerican Academic Institutions.;Chunjuan Luan;Science and Technology Management Research.,2021

2. Sipei Wang Tao Han.2020.Research on Potential High Value Patent Prediction Method Based on Random Forest Algorithm.Information Science.38(05):120-125. Sipei Wang Tao Han.2020.Research on Potential High Value Patent Prediction Method Based on Random Forest Algorithm.Information Science.38(05):120-125.

3. Yihui Qiu Chiyu Zhang Shuixuan Chen.2017.Research of Patent-value Assessment Indictor SystemBased on Classification and Regression Tree Algorithm.Journal of Xiamen University (Natural Science).56(02):244-251. Yihui Qiu Chiyu Zhang Shuixuan Chen.2017.Research of Patent-value Assessment Indictor SystemBased on Classification and Regression Tree Algorithm.Journal of Xiamen University (Natural Science).56(02):244-251.

4. Shaoping Fan Yuxuan Zhao Xinying An.et al.2021.Classification Model for Medical Entity Relations with Convolutional Neural Network.Data Analysis and Knowledge Discovery. 5(09):75-84. Shaoping Fan Yuxuan Zhao Xinying An.et al.2021.Classification Model for Medical Entity Relations with Convolutional Neural Network.Data Analysis and Knowledge Discovery. 5(09):75-84.

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