Knowledge graph-based question and answer template automatic generation method and device

Abstract

The invention provides a knowledge graph-based question and answer template automatic generation method and device, a readable storage medium and a computing device. By automatically generating the question and answer template, a natural language can be split into a plurality of clauses, answers are searched for respectively, and finally answers are merged, so the retrieval process is simplified, the retrieval difficulty is reduced, and the efficiency is greatly improved. The method comprises the steps of obtaining a plurality of user questions and answer pairs used for generating a question and answer template; generating a plurality of question and answer templates according to the plurality of user questions and answer pairs, wherein the question and answer template comprises an utterance template, a query graph template and alignment information of the utterance template and the query graph template; when a question input by a user is received, instantiating the query graph template according to the alignment information and a dictionary if it is determined that the question input by the user is matched with an analytic tree of the utterance template to obtain candidate answers; ranking the plurality of candidate answers, and returning one or more candidate answers ranked before to the user.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence and automatic machine learning, and in particular to a method, device, readable storage medium and computing device for automatically generating question and answer templates based on knowledge graphs. Background technique [0002] With the explosive growth of information on the Internet, people's demand for information retrieval is increasing. How to quickly, accurately and reliably search for the information users need from a large amount of information with diverse modes has become an urgent and urgent task. issues that need resolving. [0003] At present, a template-based knowledge graph question answering system has been realized technically. The advantages of this system are: fast query response speed, high accuracy, and can answer complex queries. The process of building a huge template library is very energy-intensive. At this time, it is inevitable to design an au...

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Problems solved by technology

[0003] At present, a template-based knowledge graph question answering system has been realized technically. The advantages of this system are: fast query response speed, high accuracy, and can answer complex queries. The process of building a huge template library is very energy-intensive. At this time, it is inevitable to design an automatic generation system for question and answer templates.

[0004] How to overcome the traditional template-based question answering system’s huge time cost and labor-intensive problems caused by manual construction of templates, the existing technology has not yet proposed a corresponding solution

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