Automatic template generation method for knowledge base questions and answers

Abstract

The invention provides an automatic template generation method for knowledge base questions and answers. The automatic template generation method comprises a relational dictionary construction processand a process of automatically generating a question template and a query template according to question answer pairs. The relational dictionary construction process is used for constructing a relational dictionary for enabling natural language phrases to correspond to knowledge base relations on the basis of a large number of corpora. The process of automatically generating the question templateand the query template according to the question-answer pair comprises the following steps: firstly, obtaining a query graph from a knowledge base according to the question-answer pair, aligning a natural language question with the query graph, and automatically generating the question template and the query template on the basis of alignment. The method does not depend on manual template construction, can solve the problem of automatic generation of templates of knowledge base questions and answers, is automatic and efficient in template generation process, solves the problems that a traditional manual template construction method is high in template generation cost and limited in template number, and facilitates development of a series of subsequent applications (such as natural language knowledge base questions and answers).

Description

technical field [0001] The present invention relates to the technical field of information retrieval, relates to knowledge base question answering technology, more specifically, relates to the preparatory work of a template-based knowledge base question answering method, and automatically generates knowledge base question answering templates based on known question answers Methods. Background technique [0002] With the rapid development of computer network technology, information retrieval is inseparable from people's work and life. In the field of information retrieval, with the change of user needs, traditional search engines have also exposed some shortcomings. First of all, there are too many webpages retrieved by traditional search engines, and it is difficult for users to filter out the information they really want. Second, retrieval needs can only be expressed through logically combined keywords, which limits the expression of user query intentions. The knowledge ...

AI Technical Summary

Problems solved by technology

However, in the face of complex natural language questions and the increasing number of questions, the traditional artificial template construction method exposes many problems such as high cost of template generation and limited number of templates, which limits the development of knowledge base question answering methods.

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