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Research of Question Analysis Based on HNC and K Nearest Neighbor

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Abstract

A novel closed-domain oriented question analysis module based on hierarchical network of concepts and traditional computational linguistics is proposed to enhance the rate of accuracy of question interpretation of a question answering system. A new question catalog is developed on the basis of characteristics of closed-domain. A novel question classifier based on K neatest neighbor is constructed on the grounds of this new catalog.

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... In the k-mean clustering, the similarity between the objects is calculated by the means of various distance measures such as Euclidean distance [5], Pearson Correlation, etc. The value of k determines the number of clusters to be formed [6]. ...
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