Abstract: a basic noun phrase (BaseNP) method based on rough set is proposed in this paper. The method is firstly labeled BaseNP, BaseNP recognition is then implemented. It regards the BaseNP annotation as a decision problem solved by rough set theory, so it has the characteristic reduction and the rule superiority The characteristics of the chemical. This paper introduces the rules learning method based on rough set and corresponding algorithm, and also gives the algorithm of BaseNP labeling and recognition The method of solving the problem of instance conflict is proposed and the recognition effect is improved. The detailed experimental steps and results are given in the end A typical system is compared and analyzed, and the direction of further improvement is put forward. Keywords: artificial intelligence; Natural language processing; Basic noun phrase; Rough set; Machine learning; Rules and methods; algorithm

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基于粗糙集的基本名词短语识别.pdf

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