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Semantic retrieval method and device and electronic equipment

A semantic and candidate answer technology, applied in the field of information processing, can solve the problem that the retrieval method cannot understand the query intention and the query effect cannot be satisfied, and achieves the effect of satisfying the user's query needs, improving the user's query needs, and improving the efficiency and accuracy.

Active Publication Date: 2020-12-04
北京智源人工智能研究院
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a semantic retrieval method, device and electronic equipment, which can effectively solve the problems that the existing retrieval method cannot understand the query intention and the query effect cannot satisfy the user

Method used

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  • Semantic retrieval method and device and electronic equipment
  • Semantic retrieval method and device and electronic equipment
  • Semantic retrieval method and device and electronic equipment

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Embodiment Construction

[0055] In order to better understand the above-mentioned technical solution, the above-mentioned technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0056] refer to figure 1 , in some embodiments, a semantic retrieval method is provided, comprising:

[0057] Step S101, receiving query information sent by the user;

[0058] Step S102, correcting the text in the query information to obtain the corrected text;

[0059] Step S103, analyzing the user intent of the corrected text based on the question template library, and determining the first score of the identified user intent, the user intent includes simple factual questions and answers and frequently asked questions;

[0060]Step S104, for the simple fact question and answer, search based on the pre-built knowledge map to obtain the first candidate answer set, and determine the second score of each candidate answer in the first candidate an...

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PUM

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Abstract

The invention discloses a semantic retrieval method and device, and electronic equipment. The method comprises the steps of receiving query information sent by a user; performing error correction on the text in the query information to obtain a corrected text; performing user intention analysis on the corrected text, and determining a first score of the identified user intention; for simple fact questions and answers, performing retrieval based on a pre-constructed knowledge graph to obtain a first candidate answer set, and determining a second score of each candidate answer in the first candidate answer set according to relevancy; for common question answers, performing retrieval based on pre-constructed vectorized FAQ question and answer pairs to obtain a second candidate answer set, anddetermining a third score of each candidate answer in the second candidate answer set according to the relevancy; sorting the candidate answers according to the first score, the second score and thethird score to obtain answers; compared with retrieval based on keywords, the method can better meet the query requirements of users.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a semantic retrieval method, device and electronic equipment. Background technique [0002] In the vast amount of information on the Internet, it is often necessary to retrieve the information you need through search engines. However, the retrieval effect of search engines is not good at present, and users still need to filter through a large number of returned web pages, which cannot meet the convenient and fast retrieval requirements. As a result, smart services have emerged, using intelligent means to digitize information, but it is still difficult to mine the information correlation between data, resulting in a lot of data information not being effectively used. [0003] Most of the existing search engines still use traditional methods such as keyword matching, PageRank, and inverted index as search methods. In order to meet user query needs as much as possible...

Claims

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Application Information

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IPC IPC(8): G06F16/953G06F16/33G06F16/36G06F40/232G06F40/247G06F40/30
CPCG06F16/3344G06F16/367G06F16/953G06F40/232G06F40/247G06F40/30
Inventor 周阳钱泓锦刘占亮窦志成
Owner 北京智源人工智能研究院