Establishment method and system for bilingual semantic relation classification model

A semantic relationship and classification model technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve time-consuming and labor-intensive problems, achieve the effect of reducing demand and improving establishment efficiency

Inactive Publication Date: 2014-02-05
SUZHOU UNIV
View PDF1 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For these two methods, the quantity and quality of the labeled corpus usually determine the performance of rela

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
  • Establishment method and system for bilingual semantic relation classification model
  • Establishment method and system for bilingual semantic relation classification model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] figure 1 It is a flow chart of Embodiment 1 of the establishment method of the bilingual semantic relationship classification model of the present invention. Such as figure 1 As shown, the method may incl...

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 an establishment method and system for a bilingual semantic relation classification model. The method comprises the followings: semantic relation classification is performed on the first un-annotated corpus of an un-annotated semantic relation, which corresponds to first language, through a first language classifier, so as to obtain a semantic relation classification result; the first un-annotated corpus is translated into a second un-annotated corpus corresponding to a second language; the corresponding relation of the first un-annotated corpus and the semantic relation classification result is stored into a first training set of the first language classifier; the corresponding relation of the second un-annotated corpus and the semantic relation classification result is stored into a second training set of the second language classifier. After the adoption of the method or the system provided by the invention, the demands for large-scale training corpus can be reduced, and the establishing efficiency for the bilingual semantic relation classification model can be improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a method and system for establishing a bilingual semantic relationship classification model. Background technique [0002] Semantic relationship extraction between named entities (referred to as entity relationship extraction, or relationship extraction) is an important research content in the field of information extraction and natural language processing. Its task is to extract the semantic relationship between two named entities from natural language text. For example, the semantic relationship between the two entities "Clinton" (PER) and "Pyongyang" (GPE) in the phrase "U.S. President Clinton's trip to Pyongyang" is a physical location relationship (PHYS.located). [0003] The main method of relation extraction is to control the machine to learn semantic relations based on labeled corpus and unlabeled corpus, and then establish a classification model for ...

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
IPC IPC(8): G06F17/28
Inventor 钱龙华胡亚楠周国栋
Owner SUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap