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Intention discrimination method and system combined with deep learning and knowledge base

A technology of deep learning and discrimination method, applied in the field of intention discrimination system combining deep learning and knowledge base, it can solve the problems of inability to extract semantic information, weak feature expression ability, ignoring context relationship, etc., and achieve strong semantic feature expression ability Effect

Pending Publication Date: 2021-12-28
武汉听枫智能科技有限公司
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Problems solved by technology

[0006] The purpose of the present invention is to provide an intention discrimination method and system combining deep learning and knowledge base to solve the problem of high latitude and high sparsity in the traditional method proposed in

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  • Intention discrimination method and system combined with deep learning and knowledge base
  • Intention discrimination method and system combined with deep learning and knowledge base
  • Intention discrimination method and system combined with deep learning and knowledge base

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[0042] 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 only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] The problem of intent recognition is to enable search engines or applications such as man-machine dialogue to identify the most relevant information to the query entered by the user; If you want to know the weather, you can directly return today's local weather conditions to the user as a result, which will save the user's search clicks, shorten the search time, and greatly improve the user experience.

[0044] see figure 1 , figure 2 and image 3 ,...

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Abstract

The invention also discloses an intention discrimination method and system combined with deep learning and a knowledge base. The method has the advantages that only a small number of seed query statements need to be labeled, and manual labeling of a large amount of sample data is avoided; crawling all concepts related to an intention field by utilizing the most comprehensive semi-structured knowledge base-Wikipedia at present, and taking a concept set as an intention representation tool to ensure that concept features in a covering query statement are covered to the greatest extent; a deep learning model is used for carrying out similarity matching on a query statement and a Wiki concept, a convolutional neural network (CNN) and a long short-term memory network (LSTM) are used for extracting a semantic vector of a text, and compared with a bag-of-words method, the semantic vector extracted by the invention has the characteristic of low latitude and has stronger semantic feature expression ability.

Description

technical field [0001] The invention belongs to the technical field of user query intent understanding methods and systems, and specifically relates to an intent discrimination method and system combining deep learning and a knowledge base, and also relates to an intent discrimination system combining deep learning and a knowledge base. Background technique [0002] The understanding of user query intent has always been the core issue in search engines and voice dialogue technology. Solving this problem can greatly improve user experience. At the same time, with the rise of artificial intelligence, human-computer dialogue technology has become a hot topic, and this technology also needs to rely on accurate understanding of user query intentions. Therefore, the difficult problem of how to accurately understand user query intent has attracted the attention of both academia and industry. [0003] Currently, the mainstream methods for query intent understanding are fusion rules...

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Application Information

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IPC IPC(8): G06F16/33G06F16/35G06F16/951G06F40/194G06F40/30G06N3/04G06N3/08
CPCG06F16/334G06F16/951G06N3/08G06F16/35G06F40/30G06F40/194G06N3/044G06N3/045
Inventor 葛君
Owner 武汉听枫智能科技有限公司
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