关键词: 智能客服, 句子相似度, 分词纠正, 词向量, 循环神经网络

Abstract: In view of sentence similarity calculation method for intelligent customer service in financial field is studied. Firstly, it reduces the participle errors of Chinese ambiguous words and financial related words by the participle correction model based on part-of-speech. Then, it extracts the semantic features of word level and sentence level and obtains the sentence vectors by the method of word vector and circulatory neural network. In addition, it calculates the discriminative features between sentence vectors by the merge layer. Finally, it obtains the result of sentence similarity calculation by dimension reduction and normalization of the discriminative features. Experiments show that this method has high accuracy and F1 value.

Key words: intelligent customer service, sentence similarity, participle correction, word vector, cyclic neural network