Intelligent civil case prediction system and method combining spoken language description and questions answering

A prediction method and spoken language technology, applied in the field of legal services, can solve the problems of not supporting oral language, low user ratio, selection, etc., to achieve the effect of improving user experience and completion rate, and reducing the number of

Inactive Publication Date: 2019-09-10
杭州实在智能科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] 2. It does not support colloquial descriptions, that is, natural language input. User input is entirely based on single-choice or multiple-choice question-and-answer forms. The system can only passively collect answers corresponding to pre-prepared questions. However, due to the wide range of legal issues , The personalized reason of the user's question, even after the user answers a series of questions, the question that the user needs to consult most or the key concern point of the user may still not be collected
[0010] 3. The generation of consulting results can only rely on manual sorting, and cannot rely on massive data and learning capabilities based on machine learning and deep learning
[0011] The generation of consulting reports is entirely based on the rules sorted out by humans, which requires a lot of human work by legal professionals; consult

Method used

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  • Intelligent civil case prediction system and method combining spoken language description and questions answering
  • Intelligent civil case prediction system and method combining spoken language description and questions answering
  • Intelligent civil case prediction system and method combining spoken language description and questions answering

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Embodiment 1

[0058] Such as figure 2 As shown, this embodiment discloses an intelligent civil case prediction method combining colloquial description and question and answer, including the following steps:

[0059] S1. Receive the colloquial case description input by the user;

[0060] S2. Determine the user's consultation intention according to the colloquial case description;

[0061] S3. Check whether the feature content is complete according to the consultation intention, if so, execute step S4, otherwise prompt the user to supplement the corresponding feature content;

[0062] S4. Invoking the predictive model to output corresponding consultation results to the user according to the complete feature content.

[0063] Specifically, in step S1, the colloquial case description includes a text-type case description and a speech-type case description, and when it is a speech-type case description, the speech is first converted into text by the speech recognition system . The colloquia...

Embodiment 2

[0096] Such as Figure 7 As shown, this embodiment discloses an intelligent civil case prediction system combining colloquial description and question-and-answer, including a preprocessing module 1, a prediction module 2 and an output module 3, wherein

[0097] The preprocessing module 1 is used to detect whether the colloquial case description input by the user contains complete feature content, and if not, prompt the user to make supplements;

[0098] The prediction module 2 is used to invoke the prediction model and output the probability of winning the appeal based on the complete feature content;

[0099] The output module 3 is configured to output the consultation result based on the case prediction reason template according to the prediction result of the prediction module 2 and the complete feature content.

[0100] Further, the preprocessing module includes an intent recognition engine 11, a feature recognition engine 12 and a question supplementary module 13, wherei...

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Abstract

The invention relates to an intelligent civil case prediction method combining spoken language description and question answering. The method comprises the following steps: S1, receiving a spoken language case description input by a user; S2, determining a consultation intention of the user according to the spoken language case description; S3, detecting whether the feature content is complete ornot according to the consulting intention, if yes, executing the step S4, and if not, prompting the user to supplement the corresponding feature content; and S4, calling the prediction model to outputa corresponding consultation result to the user according to the complete feature content. A pure question and answer mode is converted into a mode of supplementing and combining a small number of questions based on oral description, so that the number of the questions needing to be passively answered by the user is reduced, and the user experience and the completion rate are improved.

Description

technical field [0001] The invention belongs to the technical field of legal services, and in particular relates to an intelligent civil case prediction system and method combining colloquial description and question-and-answer. Background technique [0002] As the country promotes a society ruled by law and citizens pay more and more attention to safeguarding their own rights and interests, the society's demand for legal services is also increasing. At present, there are only public services for online consultation in civil cases in China. Taking professional consultation in the civil field as an example, it includes the following steps, as follows: figure 1 Shown: [0003] 1) The user selects a question type. Here you limit the scope of the consultation by selecting a question type. A typical issue type is a certain claim type under a certain dispute type. [0004] 2) The system pops up a series of questions, which are sorted out by legal business experts, and the answ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/18
CPCG06Q10/04G06Q50/18
Inventor 徐亮孙林君
Owner 杭州实在智能科技有限公司
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