Abstraction statement extraction method and device, server and computer readable storage medium
An extraction method and server technology, applied in the field of semantic analysis, can solve the problem of low accuracy and achieve the effect of improving the accuracy of extraction
Pending Publication Date: 2021-04-30
PING AN TECH (SHENZHEN) CO LTD
View PDF0 Cites 11 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
The commonly used algorithm for extracting important sentences in text is mainly the TextRank algorithm, but the original TextRank method only extracts important sentences based on the similarity between sentences and text, and the extracted sentences are redundant and have low 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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0031] The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations / steps, nor must they be performed in the order described. For example, some operations / steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.
[0032] At present, the determination methods of text summarization mainly include extractive and generative. Extrac...
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
Login to View More Abstract
The invention provides an abstract statement extraction method and device, a server and a computer readable storage medium, and the method comprises the steps: obtaining a target text, and splitting the target text into a plurality of target statements; calling a semantic recognition model to process each target statement to obtain a first semantic vector of each target statement; calling a semantic fusion model to process each first semantic vector to obtain a semantic vector matrix of the target text; performing linear transformation on the semantic vector matrix to obtain a target semantic vector matrix; calling a statement classification model to process the target semantic vector matrix to obtain a classification label sequence; and determining an abstract statement of the target text from the plurality of target statements according to the classification tag sequence and a first tag used for indicating that the target statement is the abstract statement. The method improves the extraction accuracy of the abstract statement. The invention also relates to the field of blockchains. The computer readable storage medium can store data created according to the use of blockchain nodes.
Description
technical field [0001] The present application relates to the technical field of semantic analysis, in particular to a method, device, server and computer-readable storage medium for abstract sentence extraction. Background technique [0002] At present, the determination methods of text summarization mainly include extractive and generative. Extractive means extracting important sentences in the text as summary sentences, and compose summaries based on these summary sentences, while generative means refers to methods based on natural language processing. , synonymous replacement and sentence abbreviation techniques to generate text summaries. The commonly used algorithm for extracting important sentences in text is mainly TextRank algorithm, but the original TextRank method only extracts important sentences based on the similarity between sentences and text, and the extracted sentences are redundant and have low accuracy. Therefore, how to improve the accuracy of extractin...
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
Login to View More IPC IPC(8): G06F16/34G06F16/35G06F40/30G06K9/62
CPCG06F16/345G06F16/35G06F40/30G06F18/2411G06F18/25
Inventor 梁子敬
Owner PING AN TECH (SHENZHEN) CO LTD