Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Word sense disambiguation method and device based on combination of graph model and word vectors

A word sense disambiguation and word vector technology, which is applied in the creation of semantic tools, character and pattern recognition, unstructured text data retrieval, etc.

Pending Publication Date: 2021-01-12
INNER MONGOLIA UNIV OF SCI & TECH +1
View PDF12 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above problems, the present invention proposes a word sense disambiguation method and device based on the combination of graph model and word vector to solve the problem of low accuracy of existing word sense disambiguation methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Word sense disambiguation method and device based on combination of graph model and word vectors
  • Word sense disambiguation method and device based on combination of graph model and word vectors
  • Word sense disambiguation method and device based on combination of graph model and word vectors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Exemplary embodiments of the present invention will be described below with reference to the accompanying drawings. In the interest of clarity and conciseness, not all features of an actual implementation are described in this specification. It should be understood, however, that in developing any such practical embodiment, many implementation-specific decisions must be made in order to achieve the developer's specific goals, such as meeting those constraints related to the system and business, and those Restrictions may vary from implementation to implementation. Furthermore, it should be understood that development work, while potentially complex and time-consuming, would nevertheless be a routine undertaking for those skilled in the art having the benefit of the teachings herein. Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the device structure and / or processing steps closely related to the so...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a word sense disambiguation method and device based on combination of a graph model and a word vector, belongs to the field of natural language processing, and is used for solving the problem of low accuracy of an existing word sense disambiguation method. The method is characterized by comprising the steps of preprocessing a data set to obtain ambiguous words; constructinga graph model, and obtaining context background knowledge according to the graph model; training a word vector model, and performing word vector representation on the obtained ambiguous words and context background knowledge according to the word vector model; and performing cross-weighted similarity calculation on the ambiguous words expressed by the word vectors and the context background knowledge, taking a mean value, and determining the ambiguous word with the highest similarity mean value as a correct meaning item of the ambiguous words. According to the invention, the graph model and the word vector are combined, so that the correct rate of word sense disambiguation is improved, and a good disambiguation effect is achieved. The method is superior to a traditional word sense disambiguation method and can well meet the requirements of practical application.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to a word sense disambiguation method and device based on the combination of graph models and word vectors. [0002] technical background [0003] Word sense disambiguation is mainly to solve the problem of ambiguous expression of polysemous words in sentences. It is to judge the specific meaning of ambiguous words based on contextual knowledge, so that the computer can better understand the intention expressed by the user and increase the user experience. In the field of computational language, the word level is the main problem solved by word sense disambiguation, and it is the basis for computers to understand sentences and discourse texts. Word sense disambiguation has a direct impact on machine translation, text classification, information retrieval, speech processing and question answering systems, so word sense disambiguation plays a very critical role in the field o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/284G06F16/36G06F40/289G06F40/211G06K9/62
CPCG06F40/284G06F16/367G06F40/289G06F40/211G06F18/22
Inventor 杜永兴牛丽静李宝山胡伟健李灵芳周李涌
Owner INNER MONGOLIA UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com