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Automatic question and answer method and device

An automatic question answering and questioning technology, applied in the field of information processing, can solve the problems of missing semantic information of question sentences, lack of interpretability of machine learning results, and lack of interpretability of automatic question answering process and results, so as to improve the effect of automatic question answering.

Inactive Publication Date: 2019-12-20
BEIJING GRIDSUM TECH CO LTD
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Problems solved by technology

However, the machine learning method used in the traditional automatic question answering scheme is usually based on the bag-of-words model, which ignores the sequence relationship between the words in the question sentence, and loses some semantic information in the question sentence, making the machine learning process The lack of interpretability of machine learning results also leads to the lack of interpretability of the automatic question answering process and results

Method used

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  • Automatic question and answer method and device
  • Automatic question and answer method and device

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Embodiment Construction

[0056] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0057] see figure 1 , figure 1 A flow chart of the automatic question answering method provided by the embodiment of this application.

[0058] Such as figure 1 As shown, the method includes:

[0059] S101: Obtain user question statements and candidate question sets.

[0060] The user question sentence refers to a sentence representing a question raised by the user. The user question sentence may be a question sentence directly...

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Abstract

The invention provides an automatic question and answer method and device; the method has the following steps: firstly, obtaining user question statements and a candidate question set; training an attention neural network through a question statement training sample to obtain a question model; determining question statements matched with the user question statements from the candidate question set, and finally, adopting the answer information corresponding to the target question statement to respond to the user question statement, and utilizing the characteristics of the attention neural network, so that the automatic question-answering process and result realized by utilizing the question model are more interpretable, and the automatic question-answering effect is improved.

Description

technical field [0001] The invention relates to the field of information processing, and more specifically, to an automatic question answering method and device. Background technique [0002] The automatic question answering technology automatically answers the questions that users encounter when handling related affairs through the form of intelligent assistants or intelligent customer service, which greatly reduces the workload of manual customer service, and at the same time allows users to enjoy faster question and answer services. [0003] The traditional automatic question answering scheme transforms the automatic question answering process into the retrieval process of user questions in the FAQ database. Specifically, natural language processing tools are used to analyze user question sentences, identify keywords of user question sentences, and based on the obtained Keywords retrieve matching questions and their answers from the FAQ database. However, the machine lea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332
CPCG06F16/33
Inventor 陈华杰
Owner BEIJING GRIDSUM TECH CO LTD
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