JSAI2022

JSAI2022

Jun 14 - Jul 8, 2022Kyoto International Conference Center+online
The Japanese Society for Artificial Intelligence
JSAI2022

JSAI2022

Jun 14 - Jul 8, 2022Kyoto International Conference Center+online

[1D5-GS-11-03]Associating technical documents and export control laws using Japanese-English translation for regulatory compliant data access control

〇Keiichi Matsuzawa1, Mitsuo Hayasaka1(1. Hitachi, Ltd.)
[[Online]]

Keywords:

NLP,export control,data management

In hybrid cloud data utilization, data movement across the countries will occur, and there is a risk of unintentionally violating the laws and regulations of export control. The purpose of this study is to establish a technology to reduce the risk of violation of laws and regulations in data movement, by associating technical documents and legal statements of export control. In order to respond to the differences in the vocabulary of Japanese business documents and legal statements, the proposed method calculates the similarity of the sentences through their English translations. Our prototype associated 73% of technical documents with US EAR items. In addition, by cooperating with the access management of the data, the prospect of reducing the risk of illegal export of technical information is obtained.