Supporting the effective use of health-related online information through the enhancement of health literacy

2014 Fiscal Year Final Research Report

• Project/Area Number: 23240018
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Tohoku University
• Principal Investigator: INUI Kentaro 東北大学, 情報科学研究科, 教授 (60272689)
• Co-Investigator(Kenkyū-buntansha): OKAZAKI Naoaki 東北大学, 情報科学研究科, 准教授 (50601118) ; KUSUMI Takashi 京都大学, 教育学研究科(研究院), 教授 (70195444)
• Project Period (FY): 2011-04-01 – 2015-03-31
• Keywords: 自然言語処理 / 情報分析 / 情報信頼性 / 教育心理学 / 批判的思考 / ヘルスリテラシー / 言語意味解析 / 含意関係認識

Outline of Final Research Achievements

This project (i) developed a computational model for recognizing the logical relations between health-related textual information across Wed documents, (ii) conducted research on large-scale knowledge acquisition from documents, predicate-argument structure analysis, and scalable and trainable abductive reasoning as the basic technologies for (i), (iii) conducted several case studies of social media analysis based on (i) and (ii), and (iv) revealed through net surveys that critical thinking and education helps health literacy and enhances the effective use of health-related information on the Web.

Free Research Field

自然言語処理