Design And Implementation Of Question Answering Application By Answer Retrieval

With the rapid development of the information age,people have put forward higher requirements for the accuracy and efficiency of information acquisition.It is increasingly difficult for traditional search engines to meet the needs of users,and question-answer(QA)applications by answer retrieval are gradually becoming widely used.QA Application by answer retrieval for the vertical field of Java programming language is designed and implemented in this thesis.First,a QA data set in the area of Java knowledge is constructed,and based on it,the QA application is designed and implemented.The application receives query requests using the web page,then analyzes the user query intent,searches for similar questions or related documents in the QA data set,and sorts the candidate answers and returns them to the user.Meanwhile,the evaluation of the user for"question-answer relevance"is supported by the application and is used to optimize the ranking of the candidate answers.In the application,a similar question retrieval method based on text representation is used in the information retrieval module to acquire candidate answer set,and a sorting model based on machine learning is adopted to optimize the order of the answers.In the thesis,the research background of the research is introduced firstly.Then the requirements of the QA application by answer retrieval are thoroughly analyzed.Next,the overall design of the application and the detailed design of each module are proposed.After that,the implementation of each module is elaborated.