Legal fact collection system and method for legal consultation robot
A collection method and collection system technology, applied in the field of legal services, can solve the problem that the case reproduction method is difficult to make full use of user social information, and achieve the effect of effective legal services
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Embodiment 1
[0022] The embodiment of the legal fact collection method for legal consulting robots in the present invention is basically as attached figure 1 As shown, steps are included: S1, input social information; S2, determine the theme according to the keywords in the social information; S3, identify the legal facts related to the theme in the social information and implicit in the social information; S4, generate the Legal facts are exported as 3D animated models. In the present invention, legal facts and case facts have the same meaning.
[0023] In this example, Zhang San and Li Si are both from Sichuan, and there is the following contract dispute: "... Zhang San purchased 5 tons of river sand from Li Si on June 1, 2010, and signed a river sand sale contract on the same day, the contract stipulated Within 15 days, Li Si transported the river sand to Shiba near Zhang San’s house with guaranteed quality and quantity, and Zhang San made a one-time payment when he received the river ...
Embodiment 2
[0037] On the basis of Embodiment 1, the present invention also provides a legal fact collection system for a legal consulting robot, which is used to realize the above steps. Specifically, as attached figure 2 As shown, it includes input module, subject module, fact module and output module.
[0038] The input module is used to input social information; specifically includes: a judgment unit, used to judge whether the input method is a dialect; the input unit, if the input is a dialect, first convert the dialect into Mandarin, and then input; if the input is not a dialect, Then enter directly.
[0039] The theme module is used to determine the theme according to the keywords in the social information; specifically includes: the first unit is used to extract the first type of keywords in the social information by using the tf-idf method; the second unit is used to extract the frequency of occurrence exceeding The words with preset thresholds are keywords of the second categ...
Embodiment 3
[0043] The only difference from Embodiment 2 is that in this embodiment, Zhang San and Li Si have a contract dispute. The content is roughly as follows: "... Zhang San purchased 5 tons of river sand from Li Si on June 1, 2010, and signed a river sand sales contract on the same day. At Shiba, Zhang San made a one-time payment when he received the river sand." The evidence provided by Li Si mentioned "ding deposit", and at this time it is necessary to distinguish whether it is a deposit or a deposit.
[0044] The fact module also includes a pre-judgment unit and a subsequent judgment unit; the pre-judgment unit is used for pre-judgment: if it contains no more than 20% or one-time payment information, then output the deposit; if it contains more than 20% or multiple times If the payment information is paid off, the deposit is output; the subsequent judgment unit is used to output three options of "deposit", "deposit" and "don't know" for the user to choose. If the user chooses de...
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