Research on the Calculation Method of Question Similarity Base on the Integration of Parts-of-Speech and Semantic Correlation in Library Intelligent Consulting System
[Purpose/significance]Improving the accuracy of question similarity calculation plays an important role in improving the practical effectiveness of library intelligent consulting.[Method/process]Introducing the semantic correlation index of feature words between questions,this paper proposes a question similarity calculation method that combines part-of-speech and semantic correlation.Firstly,the paper constructs a professional dictionary in the consuulting field to enhance the business pertinence of question processing.Then,it proposes a feature word part-of-speech weight and semantic correlation weight measurement method,and combines the above two to measure the role of words in the question to construct a question semantic representation vector.Finally,it uses the cosine func-tion to calculate the quetion similarity.[Result/conclusion]Experiments show that the combination of part-of-speech and semantic cor-relation features can effectively identify the core feature words in questions.The proposed method has a higher accuracy rate of ACC@1 and ACC@3 than the traditional method.
NETL
NSTL
万方数据
维普
