Abstract
Patent analysis and mining can excavate valuable information hidden in patent texts, and help enterprises to make correct decisions. As an important step in patent mining, whether patent semantic annotation is correct or not directly affects the results of mining. During the annotation of effect statements, whether manual or automatic, we need to use clue words to judge. This paper presents a construction method of clue words thesaurus in Chinese patents based on iteration and self-filtering, in order to improve the accuracy of effect statements’ annotation.
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