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Home >> Researchers & Themes >> Naoaki Okazaki

Researchers & Themes

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  • Adam Jatowt
  • Naoaki Okazaki
  • Ryota Kanai
  • Yoshinobu Kano
  • Yuichi Kurita
  • Yoshinori Kobayashi
  • Yuko Sakurai
  • Kenji Suzuki
  • Jun Suzurikawa
  • Hiroko Terasawa
  • Jun Fujiki
  • Tomohisa Yamashita
Naoaki Okazaki

Naoaki Okazaki

Analyzing logical structure and risk of information based on automatic knowledge acquisition and structuring 3 year

Research Site Tohoku University, Graduate School of Information Sciences, Associate Professor


Researchers Theme Outline

New and emerging information platforms (e.g., Web, text messaging, social media) speed up information distribution. At the same time, these platforms have potential to escalate turbulence and anxiety in human society, spreading biased and false rumors. The goal of this research is to provide human society with a variety of criteria for making decisions about safety and risk by analyzing and aligning logical structures behind distributed information. In order to achieve this goal, this research also advances foundations of natural language processing especially for acquiring and reusing knowledge of entities and events mentioned on the Web.