And, an algorithm for constructing lexical chains based on HowNet knowledge database is given.

通过计算词义相似度首先构建词汇链，然后结合词频与区域特征进行关键词选择。

In this paper, we present a new method on feature extraction which uses HowNet as semantic resource, and use Maximum Entropy Model to realize it.

本文提出了一种使用知网作为语义资源选取分类特征，并使用最大熵模型进行分类的新方法。

The experiment result show that the first sememes in HowNet can express the main meaning of the question focus words, it can be as an important feature.

实验结果表明，在知网中选取的首义原能很好的表达问题焦点词的语义信息，可作为问题分类的一个主要特征。