A policy point extraction method and extraction system based on text summarization
A policy and key point technology, applied in the field of policy point extraction method and extraction system based on text summarization, can solve the problems of factual errors, poor coherence, etc., and achieve the effect of overcoming incomplete coverage and easy overfitting
Active Publication Date: 2021-08-27
南京鸿程信息科技有限公司
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However, its description is prone to factual errors and poor coherence.
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[0066] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0067] Such as figure 1 As shown, the policy point extraction method based on text summarization disclosed in the present invention, the method includes the following steps:
[0068] S1. Construct policy key point extraction data set, and carry out label construction on policy data set and interpretation content;
[0069] S2. Extract p...
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The invention discloses a method and system for extracting key points of policy based on text summarization. The method of the present invention comprises the following steps: S1. Constructing policy key point extraction data set, carrying out label construction to policy data set and interpretation content; S2. Extracting policy point based on text summary, carrying out extractive type text summarization algorithm model to policy key point data set Construction; S3. Extracting candidate policy points based on keywords, and performing secondary screening on the candidate policy points obtained in step S2 through keywords, as the final policy point extraction result. The invention makes full use of the text summarization technology to solve the difficult problem of policy point extraction in the policy service field. Combined with the multi-task learning framework, it overcomes the problems of incomplete coverage and easy overfitting of existing extractive text summarization algorithms; the key word-based candidate policy point extraction process helps to further extract policy text on the basis of text summarization core content.
Description
technical field [0001] The invention relates to the fields of artificial intelligence and natural language processing, in particular to a method and system for extracting policy points based on text summarization. Background technique [0002] In recent years, due to Internet users sharing and transmitting a large amount of information displayed in text form on the Internet every day, the text information on the Internet has experienced explosive growth. When users browse massive Internet text data, it is difficult to quickly and accurately obtain the key information. This results in users needing to spend a lot of time and energy summarizing the important content in the text by themselves. Therefore, how to extract the content that users are most concerned about from these massive long texts and improve the efficiency of information processing has become an urgent research work in the field of natural language processing. [0003] A good abstract content needs to meet the...
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IPC IPC(8): G06F16/34G06F16/33G06F16/35G06F40/284G06F40/30G06N3/04G06N3/08
CPCG06F16/345G06F16/3344G06F16/353G06F40/284G06F40/30G06N3/08G06N3/044
Inventor 麦丞程仇学明黄宜华吕爽周昌东
Owner 南京鸿程信息科技有限公司