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Conversation robot reply method combining RPA and AI, and model training method and device

A dialogue robot and model technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as wrong answers, failure to learn the semantic distribution of the knowledge base, and inaccurate scoring of models

Pending Publication Date: 2020-11-06
BEIJING LAIYE NETWORK TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the traditional pre-trained model needs to mark the sentence pair corpus separately for training, the traditional pre-trained model cannot learn the semantic distribution of the knowledge base itself, so it may cause inaccurate model scoring and wrong answers.

Method used

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  • Conversation robot reply method combining RPA and AI, and model training method and device
  • Conversation robot reply method combining RPA and AI, and model training method and device
  • Conversation robot reply method combining RPA and AI, and model training method and device

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Experimental program
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Effect test

Embodiment 1

[0109] see figure 1 , figure 1 It is a schematic flowchart of a retrieval model training method for a dialogue robot combining RPA and AI provided by the embodiment of the present application, and the model can be applied in the interaction process between a user and a dialogue robot. Based on the output of the model, the dialogue robot can match the user's question to the closest similar question in the preset knowledge base, and return the answer to the knowledge point to which the similar question belongs. The method for training the retrieval model on the dialogue robot combining RPA and AI provided in this embodiment can be performed by the retrieval model training device on the dialogue robot combining RPA and AI, which can be implemented by means of software and / or hardware accomplish. Such as figure 1 As shown, the method includes:

[0110] S110. Add labels to each pair of similar questions in the training sample set.

[0111]Wherein, each training sample in the t...

Embodiment 2

[0124] see figure 2 , figure 2 It is a schematic flowchart of a dialogue robot reply method combining RPA and AI provided by the embodiment of this application. The method can be executed by a dialogue robot reply device combined with RPA and AI, and the device can be realized by means of software and / or hardware. Such as figure 2 As shown, the method provided in this embodiment specifically includes:

[0125] S210. Receive a question statement from the user.

[0126] Specifically, the dialogue robot can receive question sentences input or sent by the user through the client, wherein the client can be a smart phone, a tablet computer, a PC, or a humanoid intelligent robot. After the dialogue robot receives the question statement, it can display the question statement in the dialog box with the user.

[0127] specific, Figure 3a and Figure 3b It is an effect diagram of the dialogue process of the user dialogue robot provided by the embodiment of the present applicat...

Embodiment 3

[0141] see Figure 4 , Figure 4 It is a schematic structural diagram of a dialogue robot reply device combining RPA and AI provided by the embodiment of this application, as shown in Figure 4 As shown, the device includes: a question statement receiving module 310, a target similar question determination module 320 and an answer return module 330; wherein,

[0142] The question sentence receiving module 310 is configured to receive the user's question sentence;

[0143] The target similar question determining module 320 is configured to determine the target similar question that meets the similarity requirement with the question sentence based on a preset retrieval model;

[0144] The answer returning module 330 is configured to return the answer of the knowledge point to which the target similar question belongs to the user;

[0145] Wherein, the preset retrieval model is obtained by training similar questions in a preset knowledge base, so as to establish an association b...

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Abstract

The embodiment of the invention discloses a dialogue robot reply method combining RPA and AI, a retrieval model training method and device used for a dialogue robot combining RPA and AI, equipment anda medium. The dialogue robot reply method comprises the steps of receiving a questioning statement of a user; based on a preset retrieval model, determining a target similar problem meeting a similarity requirement with the questioning statement; and returning the answers of the knowledge points to which the target similar questions belong to the user. The method is advantaged in that the presetretrieval model is obtained by training similar questions in a preset knowledge base so as to establish an association relationship between the similar questions and the similarity. By adopting the method, question answering accuracy of the dialogue robot can be improved.

Description

technical field [0001] This application relates to the field of intelligent dialogue, in particular to a dialogue robot reply method, model training method, device, equipment and medium combining RPA (Robotic Process Automation) and AI (Artificial Intelligence, artificial intelligence). Background technique [0002] Robotic Process Automation (RPA for short) is to use specific "robot software" to simulate human operations on computers and automatically execute process tasks according to rules. Artificial Intelligence (AI for short) is a technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. The use of AI-based conversational bots in everyday life is becoming more and more common. [0003] At present, dialogue robot technology mainly uses a pre-trained model to score the similarity of similar questions asked by users and recalled, and returns the answer to the knowledge p...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/2458G06F40/30G06K9/62
CPCG06F16/3329G06F16/2462G06F40/30G06F18/22G06F18/214
Inventor 胡一川汪冠春褚瑞李玮段沛宸张海雷
Owner BEIJING LAIYE NETWORK TECH CO LTD
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