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

Method for marking semantic roles by fusing predicate prior information

A technology of semantic role labeling and prior information, applied in the field of natural language processing, can solve problems such as conflicting predicate dominance, achieve the effect of improving the overall effect, improving performance, and reducing the number of errors

Inactive Publication Date: 2017-10-20
HUAZHONG NORMAL UNIV
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the existing methods, the role of predicates is only reflected in the classification of candidate arguments as a feature, which is obviously contrary to the dominance of predicates in the predicate-argument structure

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
  • Method for marking semantic roles by fusing predicate prior information
  • Method for marking semantic roles by fusing predicate prior information
  • Method for marking semantic roles by fusing predicate prior information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] 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 specific embodiments and with reference to the accompanying drawings.

[0039] All code realizations of the present invention are all completed with C++ programming language, and the development platform is Ubuntu 12.04, but not limited to this, these are not limitations of the present invention; Because the written program does not use any platform-related codes, so the described system Implementations may also run on other versions of the operating system.

[0040] The basic idea of ​​the present invention is to deeply dig predicate information, and propose a semantic role labeling method that integrates predicate prior information, so as to improve the system performance of semantic role labeling. The system frame diagram of the present invention is as figure 1 shown. figure 1 Middle: Af...

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 relates to the technical field of natural language processing, and provides a method for marking semantic roles by fusing predicate prior information. The method for conducting superficial semantic analysis on a sentence includes the steps that 1, word segmentation and syntactic analysis are conducted on the sentence; 2, the core predicate in the sentence is found; 3, for the current predicate, by the utilization of a basic semantic role marking system, an initial semantic role marking result is generated, so that an initial candidate argument is obtained; 4, the predicate argument group distribution conditions of all predicates in training data are calculated; 5, combined analysis is conducted on the initial semantic role marking result, first, the core argument of all candidate arguments is recognized, and then the predicate argument group with the highest score is calculated according to the probability distribution of a predicate argument group of the current predicate to serve as a final semantic role marking result. The characteristics of the predicates can be sufficiently mined, relation between the predicates and the arguments is reasonably utilized, and the accuracy of semantic role marking is improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing, more specifically, a semantic role labeling method that integrates predicate prior information. Background technique [0002] Semantic role labeling is a shallow semantic analysis technology, which centers on the predicate of the sentence, studies the semantic relationship between each component in the sentence and the predicate, and uses various semantic roles to describe this relationship. Generally, in semantic role labeling, a predicate in a sentence represents an event, and other components related to the predicate usually represent information related to the event. Here is an example of semantic role annotation: [0003] [They] A0 [yesterday] AM-TMP [held in US] AM-LOC [held] Pred [competition] A1. [0004] Among them, "hold" is a predicate representing an event, "they" is the doer of the event, "game" is the subject, "yesterday" is the time when the event occurred, an...

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): G06F17/27G06F17/30
CPCG06F16/35G06F16/36G06F40/30
Inventor 杨海彤王炜
Owner HUAZHONG NORMAL UNIV
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