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首页> 外文期刊>International Journal of Innovative Computing Information and Control >A NEW APPROACH OF WORD SENSE DISAMBIGUATION AND KNOWLEDGE DISCOVERY OF ENGLISH MODAL VERBS BY FORMAL CONCEPT ANALYSIS
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A NEW APPROACH OF WORD SENSE DISAMBIGUATION AND KNOWLEDGE DISCOVERY OF ENGLISH MODAL VERBS BY FORMAL CONCEPT ANALYSIS

机译：基于形式概念分析的英语情态动词词义消歧和知识发现新方法

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摘要

A new approach is proposed in this paper for improving the accuracy of word sense disambiguation (WSD) and knowledge discovery of English modal verbs. The concept hierarchical relation diagrams of some English modal verbs are generated based on the mathematical descriptions of the optimization of formal context. The diagrams can not only be used to disambiguate word senses, but also show clearly the complex relations between the objects (senses) and the attributes (contextual features) and the relations among the attributes of modal verbs. The proposed approach is verified by the experiments with the data of some English modal verbs. The results of WSD by the new approach are compared with those by other existing methods. It is proven that the new approach can not only improve the accuracy of WSD of English modal verbs, but also display the hierarchical relations of the complex data for knowledge discovery. The discovered knowledge provides the basis for feature selection in natural language processing and for the semantic study of English modal verbs.
机译：本文提出了一种新的方法来提高单词歧义消除（WSD）的准确性和英语情态动词的知识发现。基于对形式语境优化的数学描述，生成了一些英语情态动词的概念层次关系图。这些图不仅可以用来消除单词的歧义，而且可以清楚地显示出对象（感官）与属性（语境特征）之间的复杂关系以及情态动词的属性之间的关系。实验通过一些英语情态动词的数据验证了该方法的有效性。通过新方法将水务署的结果与其他现有方法进行比较。实践证明，该新方法不仅可以提高英语情态动词的WSD准确度，而且可以显示复杂数据的层次关系，从而促进知识发现。发现的知识为自然语言处理中的特征选择和英语情态动词的语义研究提供了基础。

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