河原　大輔

2020年度

研究成果概要：As the coronavirus disease (COVID-19) has been rapidly spreading around the world, there is an increasing need for ...As the coronavirus disease (COVID-19) has been rapidly spreading around the world, there is an increasing need for a system for aggregating immediate information that transcends borders and domains. To build such a system, it is necessary to use natural language processing (NLP) technologies flexibly, such as combining machine translation of multilingual texts with information analysis technology, and mapping information transmitted by experts with social media texts. We have studied an application of NLP technologies for COVID-19 by cooperating with researchers in informatics including NLP. Then, we have developed a system for aggregating COVID-19 information from all over the world. In this system, COVID-19 information is grouped by regions and topics, such as infection status, prevention, medical information, economic policies, and education. Collected multilingual articles are translated into Japanese and English by machine translation and are automatically classified into the topics by the contextualized language model BERT. We hope that this system is useful for many people, and this kind of technology will be used for other future events and disasters.