Legal document generation method and system based on reading understanding and intention recognition model

A technology for reading comprehension and recognition models, applied in the directions of character and pattern recognition, data processing applications, electronic digital data processing, etc., can solve the problems of difficult parties, long texts entered by the parties, and no solutions found, so as to reduce the convergence time , the effect of reducing training costs

Pending Publication Date: 2022-04-08
重庆大牛认知科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] In the daily life of people in modern society, they often encounter legal-related issues, such as: marriage, property inheritance, labor disputes, loans, etc. The methods often adopted by the parties are to consult local lawyers, or search for relevant answers on the Internet , if the parties use the method of consulting lawyers, on the one hand, lawyers have different personal qualifications and in-depth research fields, so the answers given by each lawyer may be different, which makes it difficult for the parties to make a correct decision; on the other hand , the shortage of lawyers is very large, and the number of existing lawyers is difficult to meet the increasing number of legal consultation questions, which makes it difficult for the parties to obtain accurate, professional and satisfactory answers
If the party uses the method of searching for relevant answers online, it is often difficult to match the process of the manager of the party with the process given on the Internet, and thus it is impossible to obtain an accurate answer
[0003] In the prior art, there are some legal document generation systems through which the parties can conduct man-machine dialogue and finally obtain legal advice or contract documents, but the legal advice or contract documents obtained through this system are not very accurate. , the reason is that the system cannot accurately understand the meaning of the party, and the intention of the party is not very clear, and the text that the party needs to input is relatively long, using traditional machine learning methods and basic neural network models, such as RNN, LSTM, etc., It is far from meeting the requirements in terms of performance and accuracy
[0004] In the existing technology, it is difficult for the parties to obtain accurate, professional and satisfactory legal consultation related answers, and no relevant solutions have been found so far

Method used

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  • Legal document generation method and system based on reading understanding and intention recognition model
  • Legal document generation method and system based on reading understanding and intention recognition model
  • Legal document generation method and system based on reading understanding and intention recognition model

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Embodiment Construction

[0079] The application will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present application.

[0080] In the first aspect, this application proposes a legal document generation method based on reading comprehension and intent recognition models, such as figure 1 , figure 2 shown, including the following steps:

[0081] Step S1: Obtain a long text statement;

[0082] Step S2: Input the long text statement into the long text reading comprehension model to obtain the first round of legal elements;

[0083] Step S3: Comparing the primary legal elements with the legal element database to obtain the legal scenario that the consultant wants to consult;

[0084] Step S4: Obtain the missing elements according to the legal scene, initiate multiple rounds of dialogues with the consultant according...

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Abstract

The invention provides a legal instrument generation method and system based on a reading understanding and intention recognition model, and belongs to the technical field of legal consultation. Inputting the long text statement into a long text reading understanding model to obtain initial legal elements; comparing the first-round legal elements with the legal element library to obtain a legal scene that a consultant wants to consult; initiating multiple rounds of conversations with the consultant according to the missing elements to obtain a result of the multiple rounds of conversations; inputting results of the multiple rounds of conversations into an intention recognition model to obtain an intention recognition result; reasoning and decision making are carried out, and legal consultation suggestions or contract documents are automatically generated. The system comprises a data acquisition module, an element acquisition module, a scene acquisition module, a multi-round dialogue module, an intention recognition module and a document generation module, the model convergence time is shortened, the training cost is reduced, and parties can acquire accurate and professional legal consultation related answers.

Description

technical field [0001] The application belongs to the technical field of legal consultation, and specifically relates to a method and system for generating legal documents based on reading comprehension and intention recognition models. Background technique [0002] In the daily life of people in modern society, they often encounter legal-related issues, such as: marriage, property inheritance, labor disputes, loans, etc. The methods often adopted by the parties are to consult local lawyers, or search for relevant answers on the Internet , if the parties use the method of consulting lawyers, on the one hand, lawyers have different personal qualifications and in-depth research fields, so the answers given by each lawyer may be different, which makes it difficult for the parties to make a correct decision; on the other hand , The shortage of lawyers is very large, and the number of existing lawyers is difficult to meet the increasing number of legal consultation questions, whi...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/332G06F16/34G06F16/35G06F16/36G06K9/62G06Q50/18
Inventor 吴怡安广泉王禺雄
Owner 重庆大牛认知科技有限公司
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