Inductive Learning of a Knowledge Dictionary for a Text Mining System
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A "knowledge system" is a system to allow users to select technical knowledge on a lexical basis from technical papers written in English and share that knowledge. It supports users to read technical paper written in English, understand technical knowledge in English, and complement knowledge with other users' knowledge. We experimented for accumulating English special knowledge, translating it to Japanese, and adding information how much people know the knowledge. And we evaluated the complementation and comprehensiveness of the technical knowledge between two different systems that we proposed and among the users. The experiment(s) showed that the number of Japanese-translated words tends to increase with increasing number of users and the environment facilitates acquiring technical knowledge in their mother language. Using this system, users can collect knowledge comprehensively. In addition, the system provides an effective way to create a high-quality environment for helping users to read English-written technical papers.