Method and device for determining answers to questions, computer equipment and storage medium
A computer program and answer technology, applied in the field of natural language processing, can solve the problems of ignoring the associated information of sub-problems and reducing the accuracy of results.
Inactive Publication Date: 2021-01-29
MOBILE TECH COMPANY CHINA TRAVELSKY HLDG
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However, there is actually a correlation between these two steps, ignoring the correlation information between sub-problems, which will lead to a decrease in the accuracy of the results
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[0025] In order to better understand the above technical solutions, the technical solutions of the embodiments of the present application will be described in detail below through the accompanying drawings and specific examples. It should be understood that the embodiments of the present application and the specific features in the embodiments are the technical solutions of the embodiments of the present application. A detailed description, rather than a limitation to the technical solutions of the present application, the embodiments of the present application and the technical features in the embodiments can be combined with each other under the condition of no conflict.
[0026] see figure 1 , shows the method for determining the answer to the question in the first embodiment of the present invention. This method is applicable to various fields, such as the field of civil aviation, etc. The embodiment of the present invention does not specifically limit it. The method speci...
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The invention provides a method and device for determining answers to questions, computer equipment and a storage medium, relates to the technical field of natural language processing, and is used forimproving the accuracy of determining the answers to the questions. The method mainly comprises the following steps: inputting a target problem into an entity relationship identification model to identify a core entity and a relationship corresponding to the target problem, wherein the entity relationship identification model is obtained by training according to a sample problem and an entity label and a relationship label respectively corresponding to the sample problem; matching entity nodes corresponding to the core entities from the knowledge graph; selecting a relationship path with thehighest relationship matching degree with the target problem from relationship paths corresponding to entity nodes corresponding to the core entity in the knowledge graph; and determining the answer corresponding to the relationship path with the highest similarity as the answer of the target question.
Description
technical field [0001] The present application relates to the technical field of natural language processing, and in particular to a method, device, computer equipment and storage medium for determining answers to questions. Background technique [0002] Knowledge Base Question Answering (KBQA) can make full use of the entities in the knowledge graph and the associated information between entities, deeply understand the user's semantic information and get the best matching answer, and has been favored by academia and industry in recent years. widespread attention. In the KBQA task, the text strings of natural language questions are mapped to the triples in the knowledge map through various methods, and finally the text strings representing the answers to the questions are generated. [0003] In the stage of entity recognition and relationship extraction, the above method separates these two steps, treats them as two independent sub-problems to solve separately, and then mer...
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IPC IPC(8): G06F16/332G06F40/30G06F40/289G06F16/36G06N3/04G06N3/08
CPCG06F16/3329G06F40/30G06F40/289G06F16/367G06N3/049G06N3/08G06N3/045
Inventor 籍焱王殿胜唐红武权桁薄满辉谭智隆侯珺李睿
Owner MOBILE TECH COMPANY CHINA TRAVELSKY HLDG