Method and system for realizing fault-tolerant understanding of text semantics

A text and semantic technology, applied in the field of text semantic fault-tolerant understanding, to achieve the effect of improving robustness and accuracy

Active Publication Date: 2018-08-14
讯飞医疗科技股份有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Embodiments of the present invention provide a method and system for realizing fault-tolerant understanding of text semantics, so as to solve the problem of semantic understanding when the input text information in the prior art does not fully conform to the preset grammatical rules, and improve the robustness of the natural language understanding system sex and accuracy

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 and system for realizing fault-tolerant understanding of text semantics
  • Method and system for realizing fault-tolerant understanding of text semantics
  • Method and system for realizing fault-tolerant understanding of text semantics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] In order to enable those skilled in the art to better understand the solutions of the embodiments of the present invention, the embodiments of the present invention will be further described in detail below in conjunction with the drawings and implementations.

[0073] Such as figure 2 As shown, it is a flowchart of a method for realizing text semantic fault-tolerant understanding in an embodiment of the present invention, including the following steps:

[0074] Step 201, obtain the text string to be parsed.

[0075] Step 202: Decode the text string based on a pre-built fault-tolerant directed graph grammar network to obtain a decoding path.

[0076] Different from the traditional precise directed graph grammar network, in the embodiment of the present invention, the text string is decoded based on the fault-tolerant directed graph grammar network. The fault-tolerant directed graph-grammar network includes not only precise paths without fault-tolerant special marks, ...

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 method and system for realizing text semantics fault-tolerant understanding. The method comprises the following steps: acquiring text character strings to be resolved; decoding the text character strings based on a pre-constructed fault-tolerant directed graph grammar network to obtain decoding paths; if the decoding paths are accurately-matched paths, acquiring semantics information corresponding to the decoding paths, wherein the accurately-matched paths indicate that the matching paths do not include fault-tolerant special marks defined in the fault-tolerant directed graph grammar network; otherwise, performing fuzzy processing on each decoding path based on a preset fuzzy dictionary to obtain an optimal decoding path; and acquiring semantics information corresponding to the optimal decoding path. Through adoption of the method and system, fault-tolerant deep natural language understanding of sentences, phrases and the like can be realized, and the robustness and accuracy of a natural language understanding system are improved.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to a method and system for realizing fault-tolerant understanding of text semantics. Background technique [0002] The development of artificial intelligence technology has a long history, and natural language understanding technology, one of the most important directions in the field of artificial intelligence, has always been a research hotspot. It can be said that it has always been a dream of human beings to allow machines to understand natural language. Especially with the advent of the mobile Internet era, human beings have entered the era of big data. Efficiently analyzing and obtaining valuable information from massive data is an inevitable trend of future technological development. [0003] Traditional semantic understanding is mainly suitable for semantic analysis of accurate text strings, especially natural language understanding based on grammatical r...

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 Patents(China)
IPC IPC(8): G06F17/27
Inventor 谢卿王道广彭丁辉陈志刚胡国平胡郁刘庆峰
Owner 讯飞医疗科技股份有限公司
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