Exploration and practice of the knowledge quiz service system based on NLP technology
Based on the fact that the current situation of a lack of a standard consulting platform for various empirical problems and common problems encountered by employees in the daily working environment,after sorting out the causes and characteristics of the problems in detail,an FAQ question and answer system based on natural language processing technology is designed combined with various business scenarios.By gathering the existing experience knowledge,hidden knowledge from employees,a knowledge base with standardized knowledge file is formed.Then,the semantic answer model,human-computer interaction mod-el are designed to build the problem corpus and answer library,using word technology,sentence vector training algorithm,text similarity algorithm to analyze user's questions and match the answer.The con-struction of this system provides a comprehensive and immediate consultation and guidance platform for re-searchers.
Q&A systemknowledge servicenatural language processingword segmentationsimilarity calculation
万方数据
维普
