Legal instrument generation system and method based on user experience prediction
A technology for generating systems and laws, applied in the field of data processing, can solve the problems that the legal document generation system cannot provide
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Embodiment 1
[0047] Such as figure 1 As shown in , the legal document generation system based on user experience prediction includes a server, an interactive terminal, a consulting analysis module and an expression conversion module, where:
[0048] The server is used to store effective keyword databases, professional vocabulary databases, popular vocabulary databases and illustration databases. The associated thesaurus includes professional vocabulary and popular vocabulary, and there is a mapping relationship between professional vocabulary and popular vocabulary with the same meaning; the server also Includes a legal clause repository for storing legal clauses.
[0049] The interactive terminal is used to collect the consultation information of the user; in this embodiment, the interactive terminal is an interactive terminal between a legal consultation robot and a human, including a display screen, a microphone, a keyboard and a speaker, and the display screen is used to display legal ...
Embodiment 2
[0069] The difference from Embodiment 1 is that the server is also used to access a specific website, and grab the legal clauses in the specific URL to the legal clause database. In this embodiment, the web address (http: / / search.chinalaw.gov.cn / search2.html) of the database of laws and regulations is accessed. In other examples, web addresses with all valid legal provisions can also be used. To avoid the legal clauses in the legal clause library from being inapplicable due to the modification of the legal clauses, by accessing a specific website, the legal clause database is supplemented and updated to ensure the accuracy of the legal clauses in the legal clause database.
Embodiment 3
[0071]The difference from Embodiment 1 is that the interactive terminal further includes a camera for collecting user images. It also includes an image analysis module, which is used to identify the iris in the human eye in the user image by using the CascadeClassifier classifier according to the user image, and analyze the size of the iris and the relative angle of the eye by using the convolutional neural network analysis model by identifying the iris in the continuous user image location, to determine whether the user’s perspective is on the display of the legal consulting robot’s interactive terminal. The convolutional neural network analysis model in this embodiment is trained for several groups of human eye images and corresponding perspective ranges to form a neural network model with a mapping relationship. When the user's perspective is not on the display of the interactive terminal of the legal consulting robot, it indicates that the user is not concentrating on input...
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