Text processing method and device based on fusion knowledge graph

A technology of knowledge graph and text processing, which is applied in digital data processing, special data processing applications, unstructured text data retrieval, etc. It can solve the problem of low text matching degree and achieve the effect of improving text matching degree

Active Publication Date: 2019-12-24
HUAWEI TECH CO LTD
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[0005] The embodiment of the present application provides a text processing method and

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  • Text processing method and device based on fusion knowledge graph
  • Text processing method and device based on fusion knowledge graph
  • Text processing method and device based on fusion knowledge graph

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Embodiment Construction

[0055] In order to make the description of the following embodiments clear and concise, a brief introduction of related technologies is first given:

[0056] The knowledge graph aims to describe the concepts, entities, events of the objective world and the relationships between them. It constitutes a huge semantic network graph. figure 1 A schematic diagram of a knowledge map provided for the prior art, in which some information and relationships of countries in the objective world are described.

[0057] The knowledge graph was formally proposed by Google on May 17, 2012. Its original intention was to improve the capabilities of search engines and improve user search quality and search experience. With the development and application of artificial intelligence technology, knowledge graphs have gradually become one of the key technologies, and have been widely used in fields such as intelligent search, intelligent question and answer, personalized recommendation, content distributio...

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Abstract

The embodiment of the invention discloses a text processing method and device based on a fusion knowledge graph, relates to the field of intelligent interaction, and solves the problem of relatively low text matching degree. According to the specific scheme, firstly, word segmentation processing is conducted on an input text, a word segmentation text is obtained, and a serialized entity vector isobtained according to the word segmentation text; and then, Y target knowledge state sub-graphs are determined from the X knowledge state sub-graphs by utilizing a path matching algorithm according tothe serialized entity vector and the fused knowledge graph, and texts corresponding to the Y target knowledge state sub-graphs are determined as matching results of the input texts. The embodiment ofthe invention is used for a text matching process.

Description

Technical field [0001] The embodiments of the present application relate to the field of intelligent interaction, and in particular, to a text processing method and device based on a fusion knowledge graph. Background technique [0002] In the field of intelligent interaction, it is usually necessary to process the corpus data first to form a corresponding knowledge base, and then after receiving the user's input text, text matching technology can be used to find out the most relevant text information from the input text from the knowledge base And feedback to users. For example, in a search scenario, the matching engine finds some documents most relevant to the content of the query and returns them to the user as a result. In the intelligent question answering scenario, the matching engine finds the answer that matches the question with the highest degree of match according to the question entered by the user, and returns the answer to the user. Among them, the text matching t...

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Application Information

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IPC IPC(8): G06F16/36G06F16/332G06F17/27
Inventor 徐传飞晏小辉蒋洪睿
Owner HUAWEI TECH CO LTD
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