Semantic-based associated word searching method and device, electronic equipment and storage medium

A technology of associating words and semantics, applied in the computer field

Active Publication Date: 2021-08-17
NO 15 INST OF CHINA ELECTRONICS TECH GRP
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  • Application Information

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Problems solved by technology

[0003] The present invention intends to provide a semantic-based related word search method and device, electronic equipment, and storage medium to solve the problem of polysemy, which does not depend on existing thesaurus and can handle unknown entity nouns. The technical problem solved is realized through the following technical solutions:

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  • Semantic-based associated word searching method and device, electronic equipment and storage medium

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[0039] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0040] Explanation of terms:

[0041] Semantics: The meaning contained in language is semantics. Simply put, symbols are the carriers of language. Symbols themselves have no meaning, and only symbols endowed with meaning can be used. At this time, language is transformed into information, and the meaning of language is semantics. Semantics can be simply regarded as the meaning of concepts represented by things in the real world corresponding to data, and the relationship between these meanings, which is the interpretation and logical representation of data in a certain field. Semantics has domain characteristics, and semantics that do not belong to any domain do not exist. Semantic heteroge...

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Abstract

The invention relates to an associated word searching method and device based on semantics, and belongs to the technical field of computers. The semantic-based associated word searching method comprises the following steps: acquiring a text document from an internet database; identifying the text document by using a deep learning entity identification model to obtain an entity noun and an entity noun position; calculating a word vector of the entity noun according to the text of the sentence context of the entity noun determined by the entity noun position; performing word formation analysis on the entity nouns to determine entity types of the entity nouns; and according to the word vectors of the entity nouns and the entity types of the entity nouns, performing similar retrieval in a word vector library to search similar entity nouns. According to the semantic-based associated word searching method, the problem that one word is polysemy is solved, the method does not depend on an existing word bank, and unknown entity nouns can be processed.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a method and device for searching related words based on semantics, electronic equipment, and a storage medium. Background technique [0002] Natural language text is the main form of Internet data, including manually written news reports, description analysis, etc. Compared with structured data, it exists in more quantities and contains more information, and entities often act as real-world Words corresponding to objects and concepts are the core of query and analysis. Therefore, processing around entity nouns is an important method of modern data processing. By recommending words related to the semantics of entity nouns, users can be effectively provided with data roaming capabilities. It is also one of the necessary tasks to solve the ambiguity and polysemy of entities. However, there are problems of ambiguity and polysemy in entity nouns. Name ambiguity means ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F40/295G06F40/30
CPCG06F16/3344G06F40/295G06F40/30
Inventor 张昊任祥辉余亚玲刘彬彬
Owner NO 15 INST OF CHINA ELECTRONICS TECH GRP
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