计算机工程与应用2019，Vol.55Issue(13)：123-128,6.DOI:10.3778/j.issn.1002-8331.1812-0142
面向智能客服的句子相似度计算方法
Method of Sentence Similarity Calculation for Intelligent Customer Service
摘要
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.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Key words
intelligent customer service/ sentence similarity/ participle correction/ word vector/ cyclic neural network分类
信息技术与安全科学引用本文复制引用
JI Mingyu,WANG Chenlong,AN Xiang,MU Weiye..面向智能客服的句子相似度计算方法[J].计算机工程与应用,2019,55(13):123-128,6.基金项目
中央高校基本科研业务费专项资金(No.2572015CB32) （No.2572015CB32）
国家自然科学青年科学基金(No.61801432). （No.61801432）
