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Entity recognition method and device based on semantic analysis, equipment and storage medium

A technology of entity recognition and semantic analysis, applied in semantic analysis, natural language data processing, instruments, etc., can solve problems such as poor scalability and difficult recognition

Pending Publication Date: 2020-07-03
CHINA PING AN LIFE INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In view of this, it is necessary to provide an entity recognition method, device, device and storage medium based on semantic analysis to solve the problems of difficult recognition and poor scalability in existing named entity recognition

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  • Entity recognition method and device based on semantic analysis, equipment and storage medium
  • Entity recognition method and device based on semantic analysis, equipment and storage medium

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof.

[0043] figure 1 It is a flowchart of an entity recognition method based on s...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to an entity recognition method and device based on semantic analysis, equipment and a storage medium. The methodcomprises the steps of obtaining a to-be-identified corpus, matching the to-be-identified corpus in a suffix dictionary, and recording all suffix word indexes to obtain a suffix word index set; segmenting and extracting the corpus to be identified between two adjacent suffix word indexes in the suffix word index set to obtain a sub-character string text, matching the sub-character string text ina candidate dictionary, recording all candidate word indexes, and combining the target candidate words with the adjacent suffix words one by one to obtain a plurality of entity words. According to themethod, the initial boundary of the entity word is defined based on the prefix dictionary, the suffix dictionary and the candidate dictionary, the matching process is high in efficiency, low in searching difficulty, wide in recognition range and high in transportability, and the new word and the entity word containing the special symbol can be recognized to the maximum extent.

Description

technical field [0001] The present invention relates to the technical field of speech semantics in the field of artificial intelligence, in particular to an entity recognition method, device, device and storage medium based on semantic analysis. Background technique [0002] Named entity recognition (NER) is a fundamental task in natural language processing. Its purpose is to identify entity words with special meaning in the text corpus: such as place names, occupations, or organizational nouns. It is an essential technical component in system tasks such as intent recognition, knowledge graph construction, information extraction and retrieval. [0003] Different from English, Chinese has no space as the boundary mark of words, and there is no case of words to help word segmentation, and the way of using words is varied, and the range of words used is complicated, which increases the difficulty of entity recognition. However, the NER identification methods in the prior art ...

Claims

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Application Information

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IPC IPC(8): G06F40/295G06F40/30G06F40/242G06F16/31G06F16/335G06F16/35
CPCG06F16/31G06F16/335G06F16/355
Inventor 张灿
Owner CHINA PING AN LIFE INSURANCE CO LTD