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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Development of a novel drug information provision system for Kampo medicine using natural language processing technology

Fig. 1

System interface and information processing flow

The user can enter a natural language question directly in the text field or press the voice recognition button and speak the question using voice recognition. The input question is first analyzed by morphological analysis and then converted to synonyms based on the thesaurus. Then, Watson’s NLC has two steps: The first step, “Category-sorting NLC,” selects the category that best matches the entered question among six categories. After synonym conversion, the questions are re-entered in the “Category NLC” determined in the “Category-sorting NLC” to get an answer

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