CN113438516A - IPTV terminal law consultation method and system based on intelligent interaction - Google Patents
IPTV terminal law consultation method and system based on intelligent interaction Download PDFInfo
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- CN113438516A CN113438516A CN202110672973.XA CN202110672973A CN113438516A CN 113438516 A CN113438516 A CN 113438516A CN 202110672973 A CN202110672973 A CN 202110672973A CN 113438516 A CN113438516 A CN 113438516A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/235—Processing of additional data, e.g. scrambling of additional data or processing content descriptors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3343—Query execution using phonetics
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/338—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services; Handling legal documents
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
Abstract
The application discloses an IPTV terminal law consultation method and system based on intelligent interaction. The method and the system have the advantages that the IPTV is used as a display medium of legal consultation processes and results, and the intelligent interaction equipment, the set top box and the cloud server are matched to realize remote legal consultation in a home environment.
Description
Technical Field
The application relates to the field of legal consultation, in particular to an IPTV terminal legal consultation method and system based on intelligent interaction.
Background
The law is more and more taken into consideration by people as a powerful weapon for guaranteeing the legal rights and interests of people in modern society. With the development of economy, the social development speed of China is continuously improved, the material living level of people is also continuously improved, the requirements on social services, entertainment and other mental levels are also continuously improved, the disputes and conflicts among people and between people and organizations are also more and more complicated due to the process of urbanization, and the business requirements on legal consultation are also changed. With the continuous acceleration of the process of the law making in China, the law consciousness of people is continuously enhanced, and the method provides help for the prosperity of the law consulting market in China. The traditional legal consultation service is mainly realized by the face-to-face communication between lawyers and clients in relevant places such as law firms, the time of the clients is wasted in the mode, the law firms are deficient in relatively laggard areas, the face-to-face consultation mode has a plurality of inconveniences, and timely and efficient legal consultation cannot be realized, so that a remote legal consultation which can be realized in a home environment is urgently needed.
Disclosure of Invention
Object of the application
Based on this, in order to save user time, promote user experience, realize the long-range legal consultation under the family environment, the following technical scheme is disclosed in this application.
(II) technical scheme
The application discloses an IPTV terminal law consultation method based on intelligent interaction, which comprises the following steps:
collecting a user voice signal and converting the voice signal into text information;
locating a legal category field based on the textual information;
performing multiple rounds of voice interaction based on multiple rounds of dialogue models corresponding to the legal category domains to generate legal fact information;
and generating a customized legal consultation result according to the legal fact information, and feeding the customized legal consultation result back to the user through the IPTV.
In one possible embodiment, the locating the legal category field based on the text information includes:
outputting the text information as legal intention consulted by the user by utilizing an intention recognition model of deep learning;
locating the legal category domain in a legal category domain library according to the legal intent consulted by the user.
In one possible implementation, the generating legal fact information by performing multiple rounds of voice interactions based on multiple rounds of dialogue models corresponding to the legal category domain includes:
calling a query statement normal form according to a multi-round dialogue model corresponding to the legal category domain;
replacing key query information of the query sentence normal form with user expression, and performing multiple rounds of voice interaction based on the user expression;
and acquiring user input information based on the multiple rounds of voice interaction, and performing variable assignment on the user input information to generate legal fact information.
In one possible embodiment, the method further comprises: the method for interactively determining the legal fact information through the IPTV specifically comprises the following steps:
the IPTV displays the query sentence normal form and is attached with a corresponding reply option, and a user replies through man-machine interaction so as to determine the legal fact information;
the man-machine interaction mode comprises physical key interaction, voice interaction or touch interaction.
In a possible embodiment, the generating a customized legal consultation result according to the legal fact information and feeding back the customized legal consultation result to the user through the IPTV includes:
performing inference decision calculation on the legal fact information based on the inference decision strategy model;
generating a customized legal consultation result by utilizing a format document generation tool based on the reasoning decision calculation result;
feeding back the customized legal consultation result to the user through the IPTV;
the form of the feedback to the user through the IPTV is at least one of voice broadcast, animation broadcast and character display.
As a second aspect of the present application, the present application further discloses an IPTV-side law consultation system based on intelligent interaction, including:
the intelligent interaction equipment is used for acquiring a user voice signal, converting the voice signal into text information and performing man-machine interaction with a user;
the cloud server is used for acquiring legal fact information and generating a customized legal consultation result according to the legal fact information;
the set top box is used for realizing communication between the IPTV and the cloud server as well as between the IPTV and the intelligent interaction equipment;
and the IPTV is used for realizing the broadcasting and/or displaying of the interactive content and the consultation result.
In one possible embodiment, the cloud server includes:
the category domain positioning module is used for positioning a legal category domain based on the text information;
the legal fact generating module is used for carrying out multi-round voice interaction on the basis of the multi-round dialogue models corresponding to the legal category domains to generate legal fact information;
and the result generating module is used for generating a customized legal consultation result according to the legal fact information.
In one possible embodiment, the category domain locating module comprises:
a legal intention determining unit for outputting the text information as a legal intention consulted by the user by using the deep learning intention recognition model;
and the category domain positioning unit is used for positioning the legal category domain in a legal category domain library according to the legal intention consulted by the user.
In one possible embodiment, the legal fact generation module includes:
the query statement calling unit is used for calling a query statement normal form according to the multi-round dialogue model corresponding to the legal category domain;
the voice interaction unit is used for replacing key inquiry information of the inquiry statement paradigm with user expression and carrying out multi-round voice interaction based on the user expression;
and the legal fact generating unit is used for acquiring user input information based on the multiple rounds of voice interaction and performing variable assignment on the user input information to generate legal fact information.
In one possible implementation, the result generation module includes:
the reasoning decision calculation unit is used for carrying out reasoning decision calculation on the legal fact information based on the reasoning decision strategy model;
and the result generating unit is used for generating a customized legal consultation result by using a format document generating tool based on the result of the reasoning decision calculation.
(III) advantageous effects
According to the IPTV terminal legal consultation method and system based on intelligent interaction, the legal consultation is carried out through the IPTV terminal based on the intelligent interaction equipment, so that the user time is saved, the user experience is improved, and the remote legal consultation under the family environment is realized.
Drawings
The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining and illustrating the present application and should not be construed as limiting the scope of the present application.
Fig. 1 is a schematic flowchart of an IPTV-side legal consultation method based on intelligent interaction disclosed in the present application.
Fig. 2 is a block diagram of a structure of an IPTV-side legal consultation system based on intelligent interaction disclosed in the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application.
An embodiment of an IPTV-side law consultation method based on intelligent interaction disclosed in the present application is described in detail below with reference to fig. 1. As shown in fig. 1, the method disclosed in this embodiment mainly includes the following steps 100 to 400.
Step 100, collecting a user voice signal and converting the voice signal into text information.
Specifically, the user voice signals are collected through intelligent interaction equipment, the intelligent interaction equipment comprises equipment with voice collection and voice recognition functions, the equipment comprises intelligent sound boxes, intelligent mobile phones and other intelligent electrical appliances, a voice recognition module is arranged in the intelligent interaction equipment, the voice recognition module converts the collected voice signals into text information, and further the step 100 comprises steps 110 to 130.
And step 110, preprocessing the acquired voice signals.
Specifically, the voice signal acquired by the intelligent interaction device needs to be preprocessed to obtain characteristic parameters, and the characteristic parameters are compared with parameters in a template parameter library to obtain an identification result and obtain text information when a subsequent template is matched conveniently. Further, step 110 includes steps 111 to 114,
step 111, pre-filtering the voice signal.
Specifically, a band-pass filter is used as a pre-filter of a voice signal, the voice signal is pre-filtered, the upper and lower cut-off frequencies of the voice signal are determined, the voice signal is quantized, partial frequency spectrum components are weakened, aliasing interference is prevented, and power supply frequency interference is suppressed.
Step 112, pre-emphasis is performed on the voice signal.
Specifically, before feature extraction is performed through a digital filter, pre-emphasis needs to be performed on the voice signal, namely, a high-frequency spectrum is promoted, a connection section of a smooth high-frequency part and a low-frequency part is used for solving the spectrum under the condition of the same signal-to-noise ratio, and subsequent analysis is more convenient and faster.
And 113, performing frame division and windowing on the voice signal to acquire a short-time stable signal of the voice.
Specifically, a proper window shape and a proper window length are selected, and frame windowing processing is performed on the voice signal through sliding of a window function, so that short-time stationarity of the voice signal is obtained.
And step 114, performing end point detection on the voice signal to acquire a start point and a stop point of the target voice signal.
Specifically, the method comprises the steps of firstly carrying out short-time energy analysis on the voice signal to obtain detailed description of amplitude change of the voice signal, then carrying out short-time average zero-crossing rate analysis on the voice signal to obtain frequency information of the voice signal, and finally carrying out end point detection by combining two parameters of short-time energy and short-time zero-crossing rate by using a double-threshold end point detection method to obtain a start point and an end point of a target voice signal.
And 120, extracting characteristic parameters of the preprocessed voice signals.
Specifically, the characteristic parameters include pitch period, resonance peak value, and the like. The most commonly used comprehensive characteristic parameters are: linear Prediction Cepstral Coefficients (LPCC) and Mel-frequency cepstral coefficients (MFCC). Two kinds of feature parameters are to operate on the speech signal in the cepstrum domain, preferably Mel cepstral coefficients are used as the feature parameters of the speech signal, Mel cepstral coefficients (MFCC) are the most widely used speech feature parameters in speech recognition systems. The method comprises the steps of carrying out pre-emphasis, framing and windowing on an input voice signal, obtaining a frequency spectrum of the signal through fast Fourier transform, enabling the frequency spectrum of the signal to pass through Mel filter banks, outputting logarithmic energy of each filter bank to obtain a logarithmic frequency spectrum, and finally carrying out Discrete Cosine Transform (DCT) on the logarithmic frequency spectrum to obtain a Mel cepstrum coefficient (MFCC) coefficient.
Step 130, obtaining a voice signal recognition result.
Specifically, a pre-trained model is used for speech signal recognition, and the method is preferable. And selecting an HMM model, modeling according to the continuous HMM model, performing model training on the HMM model, performing voice recognition by using the trained HMM model according to the extracted characteristic parameters, and acquiring a recognition result, namely converting the voice signal into text information.
Step 200, positioning legal category domain based on the text information.
Specifically, after acquiring the text information in step 100, the intelligent interaction device transmits the text information to a cloud server, and the cloud server processes the text information, and further, step 200 further includes steps 210 to 220.
Step 210, outputting the text information as a legal intention consulted by the user by using an intention recognition model for deep learning;
specifically, the legal intention of the user consultation is obtained, namely the legal consultation purpose of the user is determined, firstly, keywords in the text information are extracted as classification features, the intention recognition model of deep learning is utilized to classify the input information of the user according to the classification features, the legal intention of the user consultation is obtained, and according to the characteristics of the legal consultation, the legal intention of the user consultation can be preferably divorce, labor dispute resolution and the like.
Step 220, positioning the legal category domain in a legal category domain library according to the legal intention consulted by the user.
Specifically, the cloud server is provided with a legal category domain library. Different legal category domains are built in the legal category domain library, and after the legal intention of the user is obtained, the legal category domains are positioned in the legal category domain library according to the legal intention of the user. Preferably, the legal category domain includes: the system comprises a civil affair consultation domain, a criminal consultation domain, a foreign affair consultation domain, an enterprise legal problem consultation domain and the like, wherein each domain also comprises a subdomain, for example, the civil affair consultation domain comprises an relocation consultation subdomain, a creditor and debt consultation subdomain, a medical dispute consultation subdomain, a traffic accident liability consultation subdomain, a marital consultation subdomain and the like, and the user legal consultation is subjected to primary classification domain division. The legal category field determines the man-machine conversation mechanism applicable to subsequent multiple rounds of voice interaction, including query sentences, user expressions and the like adopted in the man-machine conversation.
And 300, performing multiple rounds of voice interaction based on multiple rounds of dialogue models corresponding to the legal category domains to generate legal fact information.
Specifically, each legal category domain corresponds to one multi-turn dialogue model, and man-machine dialogue content is generated based on the corresponding multi-turn dialogue model. And (3) carrying out dialogue with the user by the intelligent interaction device to acquire user input information, wherein the step 300 further comprises the steps 310 to 330.
And 310, calling a query sentence normal form according to the multi-round dialogue model corresponding to the legal category domain.
Specifically, the legal category domain is disassembled, the legal characteristic facts are summarized and sorted by capturing key elements of a large number of cases and expert experience based on machine learning, and a multi-turn dialogue model dialogue library is automatically generated through texts. And calling a corresponding inquiry sentence normal form in a corresponding multi-round dialogue model dialogue library based on the multi-round dialogue model, guiding the user to reply, and perfecting the input legal information so as to output an accurate consultation result.
And 320, replacing the key query information of the query statement paradigm with user expression, and performing multiple rounds of voice interaction based on the user expression.
Specifically, part of the query information in the query sentence paradigm called in step 310 is replaced by the user expression to prevent the user from being difficult to understand due to the professionalism and complexity of the legal terms, and the user expression can help the user understand the conversation content to make a more accurate response.
And 330, acquiring user input information based on the multiple rounds of voice interaction, and performing variable assignment on the user input information to generate legal fact information.
Specifically, multiple rounds of voice interaction are performed based on the generated multiple rounds of session models, user input information in each round of voice interaction process is collected, the user input information is assigned to legal characteristic variables, and a legal characteristic variable set, namely the legal fact information, is generated.
In at least one embodiment, step 300 further includes step 340, determining legal fact information through IPTV interaction, which specifically includes:
the IPTV displays the query sentence normal form and is attached with a corresponding reply option, and a user replies through man-machine interaction so as to determine the legal fact information;
the man-machine interaction mode comprises physical key interaction, voice interaction or touch interaction.
Specifically, when the user of the smart interactive device performs human-computer interaction, the cloud server simultaneously transmits interactive content to the IPTV through the set top box, the IPTV screen may display the query sentence and simultaneously attach a reply option of the query sentence, and the user may directly select the reply option through a physical key, such as a remote controller key, voice interaction, such as direct interaction through a smart speaker, or through touch interaction, such as through the IPTV screen. The multi-round interaction can be independently completed by matching the cloud server with the intelligent voice equipment or the IPTV, and can also be completed by matching the cloud server with the intelligent voice equipment and the IPTV together.
In this embodiment, the cloud server is connected to the set top box and the intelligent interactive device through the lan, the set top box controls the IPTV as a display medium, the IPTV and the intelligent interactive device are also connected through the set top box, the intelligent interactive device realizes interaction with the set top box through the lan or the bluetooth, and the IPTV and the intelligent interactive device cooperate with each other, so that visualization and diversification of intelligent interaction are realized, interaction efficiency is improved, convenience is brought to a user, and user experience is greatly improved.
And 400, generating a customized legal consultation result according to the legal fact information, and feeding back the customized legal consultation result to the user through the IPTV.
Specifically, after obtaining legal fact information composed of the set of legal feature variables, customized legal consultation results are generated based on the legal fact information, and the legal consultation results are displayed through an IPTV screen, and further, step 400 includes steps 410 to 430.
And 410, performing inference decision calculation on the legal fact information based on the inference decision strategy model.
Specifically, after obtaining legal fact information composed of the legal feature variable set, inference decision calculation is performed on assigned legal feature variables based on different dimensions, where the dimensions include at least one of logical relationships between legal feature values, corresponding relationships between the legal feature values and results, and calculation supporting complex expressions. The logical relationship between the legal feature values is, for example: if the variable A is assigned to X, the variable B is automatically assigned to Y, and the variable C is not assigned again; the corresponding relationship between the legal feature value and the result is, for example: if the variable A is assigned to X, the result is shown as XXX; the calculation supporting the complex expression is the calculation of complex expression combining addition, subtraction, multiplication, division, judgment, circulation and the like.
And step 420, generating a customized legal consultation result by using a format document generation tool based on the reasoning decision calculation result.
Specifically, a word-format document template in a standard format is uploaded to the cloud server, and a customized legal consultation result in a standard format is automatically generated based on the word-format document template and the inference decision calculation result in step 410.
And 430, feeding back the customized legal consultation result to the user through the IPTV.
Specifically, the cloud server transmits the customized legal consultation result to the IPTV through a set top box, and the IPTV feeds back the customized legal consultation result to the user through the IPTV.
It should be noted that the form of the feedback to the user through the IPTV is at least one of voice broadcast, animation broadcast, and text display.
Specifically, the IPTV may display the consultation result according to a user requirement, and the display mode includes: speech broadcasting, text display, animation demonstration and the like, and can simultaneously carry out a plurality of demonstration modes, such as: and the voice broadcasting is matched with the text display to feed back the legal consultation result.
In the embodiment, multiple display modes of legal consultation results are realized through the IPTV, the user experience is improved, and the realization of remote legal consultation in a home environment through the IPTV as a display medium is a brand new business mode.
In at least one embodiment, after the legal consultation result is generated, the user still has problems or is puzzled about the legal consultation result, and can also perform manual consultation, namely real-time online consultation with a cooperative law firm or other personnel who can provide legal consultation places. Further, the present embodiment is implemented by steps 510 to 520.
Step 510, transmitting the legal fact information and the legal category domain to a legal partner, and the legal partner screening lawyers capable of providing services and feeding back the lawyer information on the IPTV.
Specifically, the legal fact information is transmitted to a legal partner, the legal partner is a cooperative law firm or other places capable of providing legal consultation, lawyers in corresponding fields are screened according to the legal classification domain, further screening is carried out according to the real-time working state of lawyers meeting requirements, lawyers capable of providing practice law consultation services are screened out, and lawyers information is fed back to the IPTV, and the lawyer information comprises basic identity information, personal classical cases, personal areas of good expertise, personal and company scores and the like.
In step 520, the user autonomously selects lawyers for consultation through lawyer information displayed by the IPTV.
Specifically, the user can independently select according to lawyer information displayed by the IPTV, the system can also randomly match lawyers for legal consultation service, after the lawyers for the legal consultation service are selected, the system can be connected with the lawyers through the IPTV, and the connection mode can be video call or voice call.
Furthermore, if no matching attorneys exist currently, namely all attorneys in the field meeting the requirements are in busy states, the booking service can be carried out, the attorneys are coordinated with the time of the user to carry out booking legal consultation service, and then legal consultation is carried out according to the booking time.
In at least one embodiment, an automatic recording function is also included, i.e.
The IPTV automatically records the legal consultation process and results and generates legal consultation record notes.
Specifically, the IPTV automatically records legal consultation processes and results, and generates legal consultation record notes. Meanwhile, the functions of automatic recording, screen recording and the like can be realized when manual consultation is carried out. After the consultation is finished, the user can inquire the legal consultation record notes at any time, listen to the recording and watch the recording screen repeatedly, so that the user experience is improved, and the legal consultation quality is upgraded.
In at least one embodiment, the method further includes a function of evaluating and recommending, and further includes steps 610 to 630.
The user evaluates the services of the lawyer using IPTV and/or intelligent interactive devices, step 610.
Specifically, after the user completes a legal consultation, the service of the lawyer can be evaluated through the IPTV and/or the intelligent interactive device, and the rating content comprises the service attitude, the professional degree, the answer level and the like of the lawyer.
And step 620, generating a score display system according to the user evaluation.
Specifically, a score display system is generated according to the evaluation of all users, and the score display system comprises the integral score and ranking of law firm, the score and ranking of each lawyer of law firm and the score and ranking of each lawyer of law field.
Step 630, recommending lawyers and places for the user according to the partner score display system.
Specifically, the system recommends lawyers and law places for the user according to the partner score display system, so that the user can conveniently select the law places and lawyers, and better user experience is brought.
An embodiment of the intelligent interaction based IPTV-side law advisory system disclosed in the present application is described in detail below with reference to fig. 2. As shown in fig. 2, the system disclosed in the present embodiment includes:
the intelligent interaction equipment is used for acquiring a user voice signal, converting the voice signal into text information and performing man-machine interaction with a user;
the cloud server is used for acquiring legal fact information and generating a customized legal consultation result according to the legal fact information;
the set top box is used for realizing communication between the IPTV and the cloud server as well as between the IPTV and the intelligent interaction equipment;
and the IPTV is used for realizing the broadcasting and/or displaying of the interactive content and the consultation result.
In at least one embodiment, the cloud server comprises:
the category domain positioning module is used for positioning a legal category domain based on the text information;
the legal fact generating module is used for carrying out multi-round voice interaction on the basis of the multi-round dialogue models corresponding to the legal category domains to generate legal fact information;
and the result generating module is used for generating a customized legal consultation result according to the legal fact information.
In at least one embodiment, the category domain location module comprises:
a legal intention determining unit for outputting the text information as a legal intention consulted by the user by using the deep learning intention recognition model;
and the category domain positioning unit is used for positioning the legal category domain in a legal category domain library according to the legal intention consulted by the user.
In at least one embodiment, the legal fact generation module includes:
the query statement calling unit is used for calling a query statement normal form according to the multi-round dialogue model corresponding to the legal category domain;
the voice interaction unit is used for replacing key inquiry information of the inquiry statement paradigm with user expression and carrying out multi-round voice interaction based on the user expression;
and the legal fact generating unit is used for acquiring user input information based on the multiple rounds of voice interaction and performing variable assignment on the user input information to generate legal fact information.
In at least one embodiment, the result generation module comprises:
the reasoning decision calculation unit is used for carrying out reasoning decision calculation on the legal fact information based on the reasoning decision strategy model;
and the result generating unit is used for generating a customized legal consultation result by using a format document generating tool based on the result of the reasoning decision calculation.
In at least one embodiment, the method further comprises:
the IPTV interactive module is used for displaying the query sentence normal form by IPTV and attaching corresponding reply options, and a user replies through man-machine interaction so as to determine the legal fact information;
the man-machine interaction mode comprises physical key interaction, voice interaction or touch interaction.
In at least one embodiment, the feedback form when the IPTV feeds back the legal consultation result includes: at least one of voice broadcast, animation broadcast, or text display.
The division of the modules and units herein is only one division of logical functions, and other divisions may be realized in practice, for example, a plurality of modules and units may be combined or integrated in another system. The modules and units described as separate parts may be physically separated or not. The components displayed as cells may or may not be physical cells, and may be located in a specific place or distributed in grid cells. Therefore, some or all of the units can be selected according to actual needs to implement the scheme of the embodiment.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An IPTV terminal law consultation method based on intelligent interaction is characterized by comprising the following steps:
collecting a user voice signal and converting the voice signal into text information;
locating a legal category field based on the textual information;
performing multiple rounds of voice interaction based on multiple rounds of dialogue models corresponding to the legal category domains to generate legal fact information;
and generating a customized legal consultation result according to the legal fact information, and feeding the customized legal consultation result back to the user through the IPTV.
2. The method of claim 1, wherein said locating legal category fields based on said textual information comprises:
outputting the text information as legal intention consulted by the user by utilizing an intention recognition model of deep learning;
locating the legal category domain in a legal category domain library according to the legal intent consulted by the user.
3. The method of claim 1, wherein generating legal fact information by performing multiple rounds of voice interactions based on multiple rounds of dialogue models corresponding to the legal category domain comprises:
calling a query statement normal form according to a multi-round dialogue model corresponding to the legal category domain;
replacing key query information of the query sentence normal form with user expression, and performing multiple rounds of voice interaction based on the user expression;
and acquiring user input information based on the multiple rounds of voice interaction, and performing variable assignment on the user input information to generate legal fact information.
4. The method of claim 3, further comprising: the method for interactively determining the legal fact information through the IPTV specifically comprises the following steps:
the IPTV displays the query sentence normal form and is attached with a corresponding reply option, and a user replies through man-machine interaction so as to determine the legal fact information;
the man-machine interaction mode comprises physical key interaction, voice interaction or touch interaction.
5. The method of claim 1, wherein the generating customized legal consultation result according to the legal fact information and feeding back the customized legal consultation result to the user through the IPTV comprises:
performing inference decision calculation on the legal fact information based on the inference decision strategy model;
generating a customized legal consultation result by utilizing a format document generation tool based on the reasoning decision calculation result;
feeding back the customized legal consultation result to the user through the IPTV;
the form of the feedback to the user through the IPTV is at least one of voice broadcast, animation broadcast and character display.
6. An IPTV terminal law consultation system based on intelligent interaction is characterized by comprising:
the intelligent interaction equipment is used for acquiring a user voice signal, converting the voice signal into text information and performing man-machine interaction with a user;
the cloud server is used for acquiring legal fact information and generating a customized legal consultation result according to the legal fact information;
the set top box is used for realizing communication between the IPTV and the cloud server as well as between the IPTV and the intelligent interaction equipment;
and the IPTV is used for realizing the broadcasting and/or displaying of the interactive content and the consultation result.
7. The system of claim 6, wherein the cloud server comprises:
the category domain positioning module is used for positioning a legal category domain based on the text information;
the legal fact generating module is used for carrying out multi-round voice interaction on the basis of the multi-round dialogue models corresponding to the legal category domains to generate legal fact information;
and the result generating module is used for generating a customized legal consultation result according to the legal fact information.
8. The system of claim 7, wherein the category domain location module comprises:
a legal intention determining unit for outputting the text information as a legal intention consulted by the user by using the deep learning intention recognition model;
and the category domain positioning unit is used for positioning the legal category domain in a legal category domain library according to the legal intention consulted by the user.
9. The system of claim 7, wherein the legal fact generation module comprises:
the query statement calling unit is used for calling a query statement normal form according to the multi-round dialogue model corresponding to the legal category domain;
the voice interaction unit is used for replacing key inquiry information of the inquiry statement paradigm with user expression and carrying out multi-round voice interaction based on the user expression;
and the legal fact generating unit is used for acquiring user input information based on the multiple rounds of voice interaction and performing variable assignment on the user input information to generate legal fact information.
10. The system of claim 7, wherein the result generation module comprises:
the reasoning decision calculation unit is used for carrying out reasoning decision calculation on the legal fact information based on the reasoning decision strategy model;
and the result generating unit is used for generating a customized legal consultation result by using a format document generating tool based on the result of the reasoning decision calculation.
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| CN113886555A (en) * | 2021-12-03 | 2022-01-04 | 北京大学 | Legal consultation service method and device |
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