A retrieval type artificial intelligence question and answer robot development method

An artificial intelligence and robotics technology, applied in digital data information retrieval, unstructured text data retrieval, instruments, etc., can solve problems such as low development efficiency, rare literature reports on robots, and difficult adjustment of hyperparameters, and improve accuracy. , the effect of improving convenience and ensuring reliability

Inactive Publication Date: 2019-06-28
SHANGHAI MARITIME UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, the deep neural network itself has the characteristics of "black box", the adjustment of hyperparameters is difficult, and a large number of questions are also ...

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  • A retrieval type artificial intelligence question and answer robot development method
  • A retrieval type artificial intelligence question and answer robot development method
  • A retrieval type artificial intelligence question and answer robot development method

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Embodiment Construction

[0039] based on the following figure 1 , specifically explain the preferred embodiment of the present invention.

[0040] Such as figure 1 Shown, the present invention provides a kind of retrieval type artificial intelligence question answering robot development method, and this method comprises the following steps:

[0041] Step 1. Upload the question-and-answer dialogue material in the form of text to the cloud, and perform data preprocessing.

[0042] The data preprocessing mentioned here specifically includes the following steps:

[0043] Step 11, distinguish question sentences and answer sentences according to different prefixes, form the format of question sentence-answer sentence one question one answer;

[0044] Step 12, converting the question sentence in text form into a list made up of vocabulary, so as to facilitate subsequent processing;

[0045] Step 13, remove function words, pronouns, or verbs and nouns without specific meanings from the text by disabling t...

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Abstract

An artificial intelligence question and answer robot development method can perform unsupervised learning on question topics by uploading a dialogue corpus to a cloud, automatically cluster the question topics, and persist clustering results in various forms to serve as training data of a deep learning classifier. The deep learning classifier carries out topic classification on questions of a user, calculates similarity, compares the similarity with a threshold value, judges that the questions are learned if the similarity exceeds the threshold value, and retrieves and gives corresponding answers. In the training process, a visual interface is provided to measure the training quality, and the question classification accuracy can reach more than 95%. According to the method, some common questions can be answered through training, a manual corpus labeling process of the question and answer robot is not needed, hyper-parameter tuning can be carried out through a visual interface, the development efficiency and classification accuracy of the question and answer robot are greatly improved, and the method can be applied to practical applications such as intelligent customer service and chat assistants.

Description

technical field [0001] The invention relates to a method for developing a search-type artificial intelligence question answering robot. Background technique [0002] Question-answering bots are an important application in natural language processing. With the development of artificial intelligence, the implementation of question-answering robots has evolved from traditional rule-based matching to artificial intelligence-based question-answering robots. Compared with traditional rule-based matching, artificial intelligence-based question-answering robots have obvious advantages: 1. It is more versatile and robust to questions, and is closer to human habits. Second, there is no need to maintain a large number of rule bases, and the maintenance cost is lower. [0003] At present, there are mainly two ways to realize the question-answering robot of artificial intelligence, the question-answering robot based on the retrieval type and the question-answering robot based on the Se...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/35
Inventor 郑志骏韩德志
Owner SHANGHAI MARITIME UNIVERSITY
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