Industry-oriented context omission question-answering method

A context and industry technology, applied in the fields of natural language processing and machine learning, to achieve the effect of reducing the amount of data maintenance and efficient human-computer multi-round interaction system

Pending Publication Date: 2020-07-17
SHANDONG SYNTHESIS ELECTRONICS TECH
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Problems solved by technology

[0004] In order to solve the above-mentioned technical problems, the technical solution adopted in the present invention is: an industry-oriented context-eliminated question-and-answer method. First, an industry knowledge graph is constructed based on structured and unstructured knowledge in industry data. The industry knowledge graph includes three Tuple information, when the system determines a topic through customer questions, the topics and attributes related to the cu...

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Embodiment 1

[0033] Based on the intelligent dialogue system, this embodiment provides an industry-oriented context-ellipsis question-and-answer method, using the topics and attributes in the industry knowledge map as the dialogue state, and through the historical state question-and-answer mechanism and the context-ellipsis question-and-answer judgment mechanism, context-based omission can be realized. The dialogue mode of question and answer can effectively avoid noise interference and provide customers with a natural, smooth, simple and efficient human-computer multi-round interaction system. This method provides external functions in the form of services, and can also be used on any device equipped with an intelligent dialogue system, such as WeChat public accounts, intelligent robots, virtual robots, etc.

[0034] figure 1 In order to construct the flow chart of the industry knowledge map, this method utilizes the existing structured data to the greatest extent, and can quickly build a...

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Abstract

The invention discloses an industry-oriented context omission question-answering method. According to the method, an industry knowledge graph is constructed according to structured and unstructured knowledge in industry data, the industry knowledge graph comprises triad information, and when a system determines a certain theme through a client problem, the theme and attributes related to the client problem in a triad are both identified as a dialogue state; and based on the industry knowledge graph and the determined dialogue state, the system performs dialogue state management after receivingthe client question, including solving noise interference through a historical state question and answer mechanism and a context omission question and answer judgment mechanism, emptying the system state caused by non-industry question and answer, and answering non-asked questions.

Description

technical field [0001] The invention relates to an industry-oriented question answering method for context omission, which belongs to the fields of natural language processing and machine learning. Background technique [0002] Dialogue State Management (Dialogue State Management) takes user intent as input, manages the dialog state generated during the contextual interaction process, and queries the knowledge base to generate a response. Natural, smooth, and efficient human-computer multi-round interaction experience is inseparable from efficient dialogue state management, but there are still many challenges in the actual engineering practice. First of all, the dialogue state is often determined by means of slot values ​​and entities, which will result in a large labeling cost, which will consume a large cost of manpower and material resources; in addition, the man-machine dialogue in the hall and other scenes is often mixed with a lot of noise (invalid question), when the...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/332G06F16/33G06F40/30
CPCG06F16/367G06F16/3329G06F16/3344G06F16/334Y02D10/00
Inventor 申冲张传锋朱锦雷李民
Owner SHANDONG SYNTHESIS ELECTRONICS TECH
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