%0 Journal Article %A WEN Zhi %A LI Yang %A WANG Suge %A LIAO Jian %A CHEN Xin %T Feature Enhanced CNN for Rhetorical Questions Identification %D 2019 %R %J Journal of Chinese Information Processing %P 68-76 %V 33 %N 1 %X The Rhetorical Question is a kind of expression with a strong emotion. To automatically identify Rhetorical Questions, this paper proposes a CNN method combined with the sentence structure of Rhetorical Questions. Firstly, candidate Rhetorical Questions is selected from the microblog according to the feature words and sequence pattern features (>70% confidence). Then, word vectors and the features of the Rhetorical Questions are extracted to generate the representations by multiple convolution kernels. Finally, the softmax classifier is used to classify sentences. The experimental results show that the proposed method achieves 89.5%, 84.2% and 86.7% in terms of accuracy, recall, and F-measure, respectively. %U http://jcip.cipsc.org.cn/EN/abstract/article_2699.shtml