Model training method and device for answering questions, equipment and storage medium

A technology for model training and questions, applied in the field of deep learning, which can solve problems such as low response rates

Pending Publication Date: 2019-05-21
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Embodiments of the present invention provide a model training method, device, computer equipment, and ...

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  • Model training method and device for answering questions, equipment and storage medium
  • Model training method and device for answering questions, equipment and storage medium
  • Model training method and device for answering questions, equipment and storage medium

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0039] The model training method for answering questions provided by this application can be applied in such as figure 1 An application environment in which a client communicates with a server over a network. Wherein, the client can be but not limited to various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices. The server can be implemented by an independent server or a server cluster composed of mul...

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Abstract

The invention discloses a model training method and device for answering questions, equipment and a storage medium, is applied to the technical field of deep learning, and is used for solving the problem that the answering rate of user consultation questions is low. The method comprises the following steps: detecting negative evaluation information; If the negative evaluation information is detected, obtaining an evaluation problem corresponding to the negative evaluation information; Clustering each evaluation problem to obtain each problem set; Determining a vector center of each problem set; For each problem set, respectively calculating the distance between the vector center of the problem set and the vector center of each preset problem group; For each question set, if the minimum distance is smaller than a preset distance threshold value, combining the question set to a preset question group corresponding to the minimum distance; For each problem set, if the minimum distance is greater than or equal to a preset distance threshold, determining the problem set as a new preset problem group; And retraining the target deep learning model by adopting each updated preset problem group to obtain a trained target deep learning model.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a model training method, device, equipment and storage medium for answering questions. Background technique [0002] At present, the application of intelligent robots has become more and more extensive. Among them, question-answering robots are mainly used in hospitals, company front desks, consultation desks and other places for user consultation. For example, many large hospitals currently have question-and-answer robots in the outpatient halls. Patients can input their own questions by voice in front of the robot. The robot searches for answers to the questions through communication with the background server and provides them to the patients. [0003] However, for the background server, since the questions that users consult are often diverse, and the types and quantities of questions will increase as time goes on, this causes the answers to the questions search...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/35
CPCG06F16/332G06F16/35
Inventor 林桂黎旭东谢国彤
Owner PING AN TECH (SHENZHEN) CO LTD
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