Limiting Context by Using the Web to Minimize Conceptual Jump Size

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• 作者：Rafal Rzepka ; Koichi Muramoto ; Kenji Araki
• 关键词：Conceptual Jump Size ; artificial trainers ; Wisdom of (Web) Crowd ; Natural Language Processing
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：7070
• 期：1
• 页码：327-338
• 全文大小：192KB
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• 作者单位：Rafal Rzepka (17)
  Koichi Muramoto (17)
  Kenji Araki (17)
  
  17. Graduate School of Information Science and Technology, Hokkaido University, S Kita-ku, Kita 14, Nishi 8, Sapporo, Japan
  
• ISSN：1611-3349

文摘

In this paper we introduce our ideas on how experiences from real situations could be processed to decrease what Solomonoff called “Conceptual Jump Size- We introduce applications based on commonsense knowledge showing that vast corpora are able to automatically confirm the validity of the output, and also replace a “trainer- which could lead to decreasing human influence and speeding up the process of finding solutions not provided by such a “trainer-or by real world descriptions. Following this idea, we also suggest a shift toward combining natural languages with programming languages to smoothen transitions between layers of Solomonoff’s “Concept net-leading from primitive concepts to a problem solution.