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Graph-based named entity recognition method, device and equipment

A named entity recognition and entity technology, applied in the field of knowledge graphs, can solve the problems of poor named entity recognition, improve the efficiency and accuracy of recognition, and reduce spatial heterogeneity

Active Publication Date: 2021-04-20
IFLYTEK (SUZHOU) TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above, the present invention aims to provide a named entity recognition method, device and equipment based on a map, and accordingly provides a computer-readable storage medium and a computer program product to solve the problem of named entities in certain specific application environments. Problems with poor recognition

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  • Graph-based named entity recognition method, device and equipment
  • Graph-based named entity recognition method, device and equipment
  • Graph-based named entity recognition method, device and equipment

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Embodiment approach

[0138] Based on the above-mentioned embodiments and their preferred solutions, those skilled in the art can understand that in actual operation, the technical concept involved in the present invention can be applied to various implementation modes, and the present invention uses the following carrier as a schematic illustration:

[0139] (1) An image-based named entity recognition device. The device may specifically include: one or more processors, memory, and one or more computer programs, wherein the one or more computer programs are stored in the memory, the one or more computer programs include instructions, When the instructions are executed by the device, the device is made to perform the steps / functions of the foregoing embodiments or equivalent implementations.

[0140] Figure 7 A schematic structural diagram of an embodiment of a named entity recognition device based on a picture provided by the present invention, wherein the device can be a cloud server, a computer...

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Abstract

The invention discloses a method, device and device for identifying a named entity based on a map. The idea of ​​the present invention is to solve the problem of insufficient information and inconsistent form in the input text in a specific scene, making it difficult to recognize some objects with ambiguous meanings in the text. The attribute information of the image attached to the scene and the deep information of the text are introduced to prevent the recognition of certain objects in the text. Auxiliary named entity recognition processing, in particular, the present invention proposes to transform image information at the text level, so that image attributes can be unified with text deep information and basic text information, so that the basic text information, deep information, map attribute information and image information can be unified. When multi-modal comprehensive processing of basic information is performed, on the one hand, it can make up for the problem of insufficient input text information, and on the other hand, it can reduce the spatial heterogeneity of images and texts, so that text and images can fully interact and combine in depth, so that It can greatly improve the recognition efficiency and accuracy of named entities in this scenario.

Description

technical field [0001] The present invention relates to the field of knowledge graphs, in particular to a named entity recognition method, device and equipment based on graphs. Background technique [0002] Named Entity Recognition (NER) is a key technology for information extraction. The main task of named entity recognition is to identify entities with specific meaning in the text, mainly including names of people, places, institutions, and proper nouns. The implementation process Usually, the boundary range of the entity in the input text is determined first, and then the type label of the entity is determined. [0003] At present, for texts with good sentence structure and sufficient context information, based on technologies such as BiLSTM+CRF or Bert+CRF, satisfactory entity recognition results have been achieved. However, due to the characteristics of short text, insufficient context, colloquialism, incorrect spelling, and abbreviation in some specific application fi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/295G06K9/62
CPCG06F40/295G06F18/241
Inventor 李直旭陈志刚陈大伟何莹
Owner IFLYTEK (SUZHOU) TECH CO LTD
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