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Template-free universal intelligent question-answering method based on dynamic knowledge graph

A knowledge graph, intelligent question answering technology, applied in special data processing applications, semantic analysis, instruments, etc., can solve problems such as low coverage and poor flexibility in problem expression diversity, achieve good question answering effect and performance, and strong versatility , the effect of strong robustness

Active Publication Date: 2020-05-15
南京烽火星空通信发展有限公司 +1
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AI Technical Summary

Problems solved by technology

This method has certain limitations. When the question asked by the user does not match the template in the template library, the question answering system will not be able to answer the user's question. Therefore, this method covers the diversity of question expressions. low rate, less flexibility

Method used

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  • Template-free universal intelligent question-answering method based on dynamic knowledge graph
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  • Template-free universal intelligent question-answering method based on dynamic knowledge graph

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Embodiment Construction

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0029] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0030] The template-free general intelligent question answering method based on the dynamic knowledge map provided by the present invention, such as figure 1 shown, including the following steps:

[0031] 1. Named entity recognition of natural language questions.

[0032] The named entities contained in the question are extracted in a variety of ways:

[0033] 101) For entities with regular or regular names, ...

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Abstract

The invention provides a template-free universal intelligent question and answer method based on a dynamic knowledge graph. The method comprises the steps of understanding natural language questions,automatically constructing a dynamic knowledge graph about entities and relationships based on ontology and question and answer contexts, determining query intentions by combining the contexts and theknowledge graph, and constructing a query-oriented dynamic knowledge graph. According to the invention, a question-answering template does not need to be constructed manually in advance, the naturallanguage query questions can be effectively converted into the dynamic knowledge graph with semantic equivalence, the dynamic knowledge graph is used for understanding the natural language questions by a general question and answer system, it is guaranteed that the dynamic knowledge graph constructed in a general question and answer scene can fully express semantics of the natural language questions, and the good question and answer effect and performance are achieved.

Description

technical field [0001] The invention discloses a template-free general intelligent question answering method based on a dynamic knowledge map, which belongs to the technical field of artificial intelligence and relates to general intelligent question answering technology. Background technique [0002] The intelligent question answering system aims to understand the user's input of natural language questions and give the answer to the question. This requires the system to fully understand the user's input of natural language questions, query the pre-constructed knowledge graph, and reasonably use reasoning to obtain correct answer. At present, with the wide application of knowledge graphs, many intelligent question answering systems are supported by knowledge graphs, and use knowledge graphs to achieve accurate answers to questions. [0003] Existing intelligent question answering systems mainly adopt template-based methods. The template-based intelligent question answering...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/36G06F40/295G06F40/30
CPCG06F16/3329G06F16/367Y02D10/00
Inventor 朱丹汪鹏徐忠锴崔睿龙吴江恒李名臣
Owner 南京烽火星空通信发展有限公司
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