Structuralizing and aggregating instances of abstract world knowledge

2017 Fiscal Year Final Research Report

• Project/Area Number: 16H06614
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Single-year Grants
• Research Field: Intelligent informatics
• Research Institution: Tohoku University
• Principal Investigator: Inoue Naoya 東北大学, 情報科学研究科, 助教 (80778605)
• Project Period (FY): 2016-08-26 – 2018-03-31
• Keywords: 世界知識 / 自然言語処理 / 推論

Outline of Final Research Achievements

We have studied core technologies for automatically acquiring world knowledge which makes artificial intelligence smarter, such as causality, from large-scale textual data. We also studied an abductive reasoner which predicts a new hypothesis based on observed facts and world knowledge. Focusing on argumentative texts under such topics as "Should we invest in space exploration?", we developed a computational model to identify the relationship between a claim and premise. We also developed a framework that can perform flexible reasoning by leveraging distributed representations.

Free Research Field

自然言語処理