Chinese short text classification based on hyponymy relation
Concerning the short length and weak signal to describe the characteristics of short text, a framework of Chinese short-text classification was put forward by using hyponymy. In order to achieve the classification of the test text, the framework first used "Hownet" to determine the hyponymy between concept pairs in training text, thus determining the hyponymy between word pairs, and then the feature vectors of test text were extended. The experimental results show that short-text classification performance can be improved by using the hyponymy.
NETL
NSTL
万方数据
维普
