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

Sentence analysis method and system based on semantic and syntactic structures

A technology of grammatical structure and analysis methods, applied in semantic analysis, natural language data processing, special data processing applications, etc., can solve problems such as inability to meet the different needs of users, and inability to improve user performance, so as to improve overall performance, The effect of improving efficiency

Inactive Publication Date: 2017-06-13
EMOTIBOT TECH LTD
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the existing semantic role labeling can only provide a trained system, which cannot meet the different needs of users to provide different types of training corpus, nor can it allow users to continuously improve performance

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
  • Sentence analysis method and system based on semantic and syntactic structures
  • Sentence analysis method and system based on semantic and syntactic structures

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Embodiments of the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, so they are only examples, and should not be used to limit the protection scope of the present invention.

[0033] like figure 1 and figure 2 Shown: a sentence analysis method based on semantic and grammatical structure, including the following steps:

[0034] Step S101: input the original sentence;

[0035] Step S102: using the original sentence to generate a preliminary training corpus;

[0036] Step S103: Obtain manually corrected training corpus, which is defined as intermediate training corpus;

[0037] Step S104: verify the correctness of the labeling of the intermediate training corpus, if the labeling of the intermediate training corpus is correct, define the intermediate training corpus as the final tra...

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 provides a sentence analysis method and system based on semantic and syntactic structures. The method comprises the following steps of 1, inputting an original sentence; 2, utilizing the original sentence for generating a preliminary training corpus; 3, obtaining an artificially-corrected training corpus, and defining the training corpus as a middle training corpus; 4, verifying the correctness of middle training corpus labels, and if the labels of the middle training corpus are correct, defining the middle training corpus as a final training corpus and executing the step 5; otherwise, executing the step 3 circularly; 5, inputting the final training corpus into a training model, and generating the training corpus needed by a user in a semi-automatic mode. The training corpus generation efficiency is improved, customization training corpus can be used for training the model, and the correctness of the training corpus can be improved; a result of visualizing semantic role labels is provided; various models can be trained under the same system, and therefore the overall efficiency of the system is improved.

Description

technical field [0001] The invention belongs to the field of computer applications, and in particular relates to a sentence analysis method and system based on semantics and grammatical structure. Background technique [0002] There are a large number of descriptions of various events in human life in natural language (as small as an action, as large as a historical event), and also include the time, place, participating roles, status, and relationship between events, etc. with a description of the characteristics. With the rise of Internet-related technologies, people rely more and more on the Internet to obtain information, and the information on the Internet presents characteristics such as massive, rapid increase, and redundancy. In order to better monitor and use the information, let Machines can analyze events in text, and event-oriented sentence analysis is becoming more and more important. Sentence analysis refers to the analysis of the function and semantics of ea...

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): G06F17/27
CPCG06F40/211G06F40/30
Inventor 简仁贤梅森傑
Owner EMOTIBOT TECH LTD
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