Conversational Knowledge Teaching Agent that uses a Knowledge Base

نویسندگان

  • Kyusong Lee
  • Paul Hongsuck Seo
  • Junhwi Choi
  • Sangjun Koo
  • Gary Geunbae Lee
چکیده

When implementing a conversational educational teaching agent, user-intent understanding and dialog management in a dialog system are not sufficient to give users educational information. In this paper, we propose a conversational educational teaching agent that gives users some educational information or triggers interests on educational contents. The proposed system not only converses with a user but also answer questions that the user asked or asks some educational questions by integrating a dialog system with a knowledge base. We used the Wikipedia corpus to learn the weights between two entities and embedding of properties to calculate similarities for the selection of system questions and answers.

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تاریخ انتشار 2015