Research Article
Cross-language Transfering the Patent Quality Evaluation Model Based on Active Learning Data Extension
@INPROCEEDINGS{10.1007/978-3-030-77428-8_10, author={Jiaqi Liu and Xindong You and Zhe Wang and Xueqiang Lv}, title={Cross-language Transfering the Patent Quality Evaluation Model Based on Active Learning Data Extension}, proceedings={Tools for Design, Implementation and Verification of Emerging Information Technologies. 15th EAI International Conference, TridentCom 2020, Virtual Event, November 13, 2020, Proceedings}, proceedings_a={TRIDENTCOM}, year={2021}, month={5}, keywords={Patent quality assessment Transfer learning Active learning Multi-task learning Cross-language text classification}, doi={10.1007/978-3-030-77428-8_10} }- Jiaqi Liu
Xindong You
Zhe Wang
Xueqiang Lv
Year: 2021
Cross-language Transfering the Patent Quality Evaluation Model Based on Active Learning Data Extension
TRIDENTCOM
Springer
DOI: 10.1007/978-3-030-77428-8_10
Abstract
At present, China has become a major patent production country, and the number of patent applications has been ranked first in the world for many years. As the number of patents has increased, the quality of patents has begun to draw people’s attention. At present, there is no clear evaluation method for Chinese patents. Manual evaluation of patents requires a large number of relevant experts to research and compare patents in different fields, which is time-consuming and labor-intensive. In the previous study, the author constructed an English patent quality evaluation model PQE-MT using U.S. Patents that represent patent strength. This paper introduces this model into Chinese patents through transfer learning and active learning, thereby reducing the workload of manual labeling. The evaluation results show that the method in the experiment has achieved a good migration effect, with Micro-F1 reaching 74%.
