CN109146726A - A kind of artificial intelligence law consultation platform and business model - Google Patents
A kind of artificial intelligence law consultation platform and business model Download PDFInfo
- Publication number
- CN109146726A CN109146726A CN201810805091.4A CN201810805091A CN109146726A CN 109146726 A CN109146726 A CN 109146726A CN 201810805091 A CN201810805091 A CN 201810805091A CN 109146726 A CN109146726 A CN 109146726A
- Authority
- CN
- China
- Prior art keywords
- information
- module
- server
- answer
- consulting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 21
- 230000005540 biological transmission Effects 0.000 claims abstract description 29
- 238000000605 extraction Methods 0.000 claims description 34
- 230000004044 response Effects 0.000 description 10
- 238000012216 screening Methods 0.000 description 9
- 239000000284 extract Substances 0.000 description 7
- 230000036651 mood Effects 0.000 description 7
- 238000011144 upstream manufacturing Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 4
- 238000009223 counseling Methods 0.000 description 4
- 230000008451 emotion Effects 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 206010039203 Road traffic accident Diseases 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 208000014674 injury Diseases 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002996 emotional effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Technology Law (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to legal advice fields, and in particular to a kind of artificial intelligence law consultation platform and business model, a kind of artificial intelligence law consultation platform, including server and consulting terminal, consulting terminal and server signal connection;Collected consultation information is sent to server for acquiring the consultation information asked questions needed for consultant by consulting terminal;Server includes semantic meaning analysis module, the corresponding answer information of consultation information is previously stored in the server, server receives and carries out semantic parsing to consultation information according to semantic meaning analysis module after the consultation information of acquisition terminal transmission, and consulting terminal is sent to according to the semantic parsing result answer information that searching and the semanteme parsing result match in answer information, consulting terminal exports the answer information received after receiving the answer information that server is sent.Solve the problems, such as that existing network-based legal advice quickly can not be answered accurately to consultant in such a way that expert answers.
Description
Technical field
The present invention relates to legal advice fields, and in particular to a kind of artificial intelligence law consultation platform and business model.
Background technique
With the development of the society, the legal consciousness of people constantly improves, judicial approach is constantly taken to solve the problems, such as, together
The judicial case accumulated on Shi Shehui is increasing, and the relevant information of law is also in explosive growth.
The legal informations such as laws and regulations, judicial explanation, judicial case are increasing, to the demand of legal advice in society
It is increasing.Currently, people have in the method mainly select when legal advice: consulting face to face, is based on telephone counseling
The legal advice of network.Wherein consulting face to face is that survey respondent directly arrives legal advice mechanism and seeks advice from, though this consultation way
So be conducive to survey respondent can will consulting the problem of adequately statement to being consulted people, but be often confined to the consulting time and
Place, survey respondent and the place that is consulted people and will fix at a fixed time are met.Telephone counseling is survey respondent in work
Make to make a phone call to carry out relevant law consulting to being consulted people (or mechanism) in the time, a kind of this consultation way with seek advice from phase face to face
Than though not limited by space, the expressive faculty for being confined to the time and asking questions, survey respondent needs when fixed
Between carry out telephone counseling and be required to come out the statement that is perfectly clear the problem of consulting.
Network-based legal advice has benefited from network communication, by survey respondent and is consulted people using network consulting platform
It is linked together, as long as the problem of survey respondent is by oneself is entered among network consulting system, subsequent system is automatically by problem point
The online law expert of dispensing, then problem is replied by law expert;Two ways solves this consultation way earlier above
The time of problem consulting and the limitation in space, substantially increase the efficiency of legal advice, and there is still the part common people in rural area now
Will not be illiterate, especially some old men, and the legal advice for being now based on network be mostly text input by way of into
Row consulting, is not easy to these illiterate common people and seeks advice from;In addition, but since legal provision and legal case are numerous, manually
It is difficult that all legal provisions and legal case are all familiar with and are remembered, can not be answered to the comprehensive legal issue of consultant,
The expert answered on network may also be not aware that the relevant law that consultant is asked a question, it may be necessary to inspection information
The answer that just can be carried out problem causes survey respondent to propose problem and obtain having the unfixed time difference between answer, if survey respondent
Compare in a hurry, will make troubles to consultant.
In addition, it is unable to satisfy government and the demand for counseling of common people since present professional lawyer's number is limited, and it is effective
Legal opinion require lawyer's professional standards height can just be quickly obtained, therefore, be badly in need of artificial intelligence get involved in legal advice this
Industry.
Summary of the invention
The technical issues of solution of the invention, is to provide a kind of artificial intelligence law consultation platform, to solve existing be based on
The problem of legal advice of network quickly can not be answered accurately to consultant in such a way that expert answers.
Base case provided by the invention are as follows: a kind of artificial intelligence law consultation platform, including server and consulting terminal,
The consulting terminal and server signal connection;The consulting terminal is used to acquire the consulting letter asked questions needed for consultant
Breath, and collected consultation information is sent to server;
The server includes semantic meaning analysis module, and the corresponding answer mould of consultation information is previously stored in the server
Type, the server receive consultation information is carried out according to semantic meaning analysis module after the consultation information of acquisition terminal transmission it is semantic
Parsing, and semantic parsing result is input in answer model, answer model generates the answer that the semanteme parsing result matches
Information is sent to consulting terminal, and consulting terminal carries out the answer information received after receiving the answer information that server is sent
Output.
The working principle of the invention and advantage are: when consultant seek advice from terminal carry out legal issue consulting when, consulting
Ask questions inquired to consultant of terminal is acquired, and collected consultation information is sent to server, and server receives
Pass through semantic meaning analysis module to the semantic parsing of consultation information progress, then according to semanteme after seeking advice from the consultation information that terminal is sent
The suitable answer model of parsing result matching, is then sent to consulting terminal for the result for answering model output, and consulting terminal receives
The result received is exported after the result sent to server.
Compared with prior art, it is seeked advice from by way of seeking advice from terminal, as long as there is consulting terminal that can be consulted
It askes, is not limited by the consulting time;In addition, consultant carries out the consulting of legal issue in consulting terminal, then in server
Semantic meaning analysis module Auto-matching go out answer model, it is longer without spending compared with existing network-based legal advice
Time waits consulting as a result, being also avoided that expert asks questions related fields to consultant and do not know about and provide incorrect answer
The degree of belief of case, common people is higher;Compared with existing live legal advice, this programme in each common people without consulting
Answer information is reformulated when inquiry, but provides consulting as a result, solving existing in such a way that Auto-matching goes out and answers information
The few problem of professional lawyer's number spends a large amount of consultant expenses to seek advice to lawyer, realizes common people without common people
Convenient easily consulting.
Further, the consulting terminal is mobile phone or computer.
It seeks advice from terminal and selects mobile phone or computer, facilitate consultant to carry and seek advice from any time.
Further, the consulting terminal is robot.
It seeking advice from terminal and selects robot, robot is placed into fixed-site, consultant seeks advice from fixed location, with
It is compared using mobile phone or computer, it is possible to reduce seek advice from the usage quantity of terminal, and then reduce cost.
Further, the consultation information is voice messaging, and the consulting terminal includes voice input module and voice output
Module, the voice input module carry out voice collecting when puing question to for consultant by seeking advice from terminal;The voice is defeated
Module carries out voice output for seeking advice from when terminal carries out answer information output out.
Inquired by consultant, the mode that consulting terminal speech is answered realizes the consulting of legal information, even if when it is illiterate
People also can by seek advice from terminal seek advice from.
Further, the semantic meaning analysis module includes speech analysis module and text resolution module, the speech analysis mould
Block is parsed into text information for that will seek advice from the collected voice messaging of terminal, and text information is carried out extraction of semantics, then
The semantic content of extraction and answer model are matched, corresponding result is sent to consulting eventually after answer Model Matching success
End.
In order to reduce memory space, existing information is stored in a manner of text information mostly, passes through speech analysis mould
Voice messaging is parsed into text information by block, and the matching of answer model is then carried out according to text information.
Further, the consulting terminal includes that related question seeks module, and the related question seeks module for seeking advice from
Person chooses whether to carry out the relevant related question consulting of consultation information.
Seeking module by related question facilitates consultant's problem correlation before carrying out after a problem is completed in consulting to ask
The inquiry of topic.
In addition, being directed to a kind of artificial intelligence law consultation platform, a kind of artificial intelligence law consulting business mould is additionally provided
Formula includes the following steps:
S1, voice input: government carries out consulting by consulting terminal to consultant after legal advice platform payment expense and asks
The voice messaging of topic inputs, and the voice messaging of input is then sent to server;
S2, speech analysis: server is parsed into pair the voice messaging after receiving the voice messaging that consulting terminal is sent
The text information answered;
S3, text resolution: server matches the answer model that the text information of parsing and server memory store up, when
The result for answering model is sent to consulting terminal after answer model and text information successful match;
S4, voice output: consulting terminal receive server transmission parsing information after by the result carry out voice output.
Then the acquisition asked questions by way of voice is carried out the output of result by way of voice, made
Obtaining can be seeked advice from illiterate people by seeking advice from terminal, pass through the corresponding answer of server Auto-matching voice messaging
Model, with it is existing by manually matching compared with, reduce workload, meanwhile, matching speed is fast, enables to consultant quick
To answer model as a result, solving the problems, such as legal advice hardly possible for common people are actual.
Detailed description of the invention
Fig. 1 is a kind of logic diagram of artificial intelligence law consultation platform in the embodiment of the present invention one;
Fig. 2 is the flow chart of legal advice business model in the embodiment of the present invention one.
Specific embodiment
Below by the further details of explanation of specific embodiment:
Embodiment one
A kind of artificial intelligence law consultation platform as shown in Figure 1:, including server and consulting terminal, server pass through nothing
Line communication module and consulting terminal are communicated, and wireless communication module selects the WIFI communication module of existing Risym brand.Consulting
Terminal can select existing mobile phone or computer, or robot.
One, server includes:
Database, for the information of receptions all in storage server or generation, database includes articles of law storage mould
Block, answer exam pool memory module, related information memory module and intelligence questions memory module, the interior storage of articles of law memory module
Have all articles of law, certainly, store in articles of law memory module can also be stored other than articles of law judicial explanation,
Local laws and regulations, the department regulation of each ministries and commissions and case etc., which generate legal opinion, has informative file, answer
The answer information for being stored with answer model in exam pool memory module and being obtained according to answer model.
Speech analysis module, for receiving the voice messaging of voice input module transmission, and the voice messaging that will be received
It is parsed into text information, the text information of parsing is then sent to text resolution module.When speech analysis module parses voice
Using the speech analysis technology of existing Iflytek limited liability company.
Text resolution module, for receiving the text information of semantic meaning analysis module transmission, then according to text information institute
Legal field involved by the relevant existence general knowledge of suitable environment, text information and text information etc. is in answer exam pool memory module
The suitable answer information of interior matching text information, carries out language to text information when carrying out answer information matches to text information
Justice is extracted, and the matching of answer information is carried out further according to extraction of semantics content, is reached in text information and answer information matches degree
When 90%, which is sent to legal opinion output module;If text information and answer
Information matches degree is below 90%, then extraction of semantics content is sent to answer information generating module.For side in the present embodiment
Just it illustrates text information and answer information matches degree with 90% as boundary, when practice, text information and answer information
Matching degree can be boundary with 80%, can also be boundary with 95%, text information and answer information matches degree can be according to realities
Border is changed with demand.When carrying out extraction of semantics, it is mainly concerned with the acquisition to semantic relevant information and (is similar to existing
Semantic net), for example, just including then the letter such as borrow money, provide a loan about the extraction of semantics content of debt-credit containing debt-credit in text information
Breath.
It answers information generating module (also referred to as answer model), in the extraction of semantics for receiving the transmission of text resolution module
Hold, the articles of law stored in extraction of semantics content and articles of law memory module are then subjected to similarity mode, work as semanteme
It extracts content and articles of law matching degree reaches 90%, then using the articles of law information as legal opinion, by text information
As problem topic, problem topic and legal opinion are then combined into answer information and are sent to authentication module, answers information
Including problem topic and legislative advice book.
Then problem relevance composite module is successively answering asking for information for extracting answer information in the database
Keyword is extracted in topic topic, and the legal opinion in keyword and other answer information is matched, when this key
In the presence of word is in the legal opinion of other answer information, then the successful two answers information of Keywords matching is combined into pass
Join information, related information is then sent to related information memory module and is stored.Related information includes upstream information under
Information is swum, upstream information is to be extracted the answer information of the evidence or key element of legal opinion, and downstream information is law meaning
Legal opinion corresponding answer information when seeing book and key element successful match.Such as: now in different legal opinion
The middle keyword extracted respectively includes: the keywords such as divorce, injury, traffic accident, property, children, debt-credit, then by the pass
In the legal opinion of keyword and other answer information when Keywords matching, then divorce, property and the several keywords of children will
With success, traffic accident, injury and borrow or lend money these keywords also can successful match, the answer of several keywords of successful match
Information can then be combined into related information.
Related question extraction module for receiving the output request of voice output module transmission, and is asked receiving output
It extracts in related information memory module after asking and asks a question relevant related information to consultant, then sought in related information
The downstream information for looking for the consultant to be asked a question, rear seek module to related question and send the judgement that whether exports of downstream information
Request.It, will be corresponding after related question extraction module, which receives related question, seeks consultant's answer information of module feedback
Downstream information is sent to related information output module.
Related question adjusts module, and the needs for being inputted on related information output module according to consultant play out
Legal opinion the problem of topic recorded and counted, be also used to count two problem topics interval 20 minutes in by elder generation
Then the probability proposed afterwards will be spaced the corresponding answer of two problem topics for successively being proposed that probability is higher than 80% in 20 minutes
Information is as related information, using the corresponding answer information of first propose problem topic as upstream information, by rear proposition
As upstream information, and by related information storage, into related information memory module, both of these problems are closed in covering to one problem topic
The original relevant related information of topic.When the probability that successively proposes is higher than 98% to two problems in interval 20 minutes, then this two
The related information that a problem is used as will be stored in intelligence questions memory module.
Screening module, for receiving the time shaft of voice collecting judgment module transmission, and one according to time shaft recently
Keyword found in intelligence questions memory module with the related information of the Keywords matching, then by keyword on time shaft with
Answer information in related information is matched, and the answer information by matching rate higher than 90% corresponds on time shaft, and will not have
There is related information corresponding with time shaft to be sent to intelligent sound playing module.
Two, consulting terminal includes:
Voice input module, for need to carry out the consultant of legal advice by the problem of consulting with voice
Mode carries out the input of voice messaging, and the voice messaging of input is sent to server.
Voice output module then will answer for receiving the answer information of text resolution module and authentication module transmission
The problem of legal opinion in information carries out voice output, i.e., proposes to consultant is answered, and related question is then sent
Related question extraction module is given in output request.
Related question seeks module, for receiving the judgement request of related question extraction module transmission, and sentences receiving
After disconnected request voice output " needing to be associated problem understanding? " determination information, mould is inputted by voice in consultant
When block answers " needs ", related question seeks module and consultant's answer information is fed back to related question extraction module.
Related information output module for receiving the downstream information of related question extraction module transmission, and downstream is believed
Problem topic carries out voice broadcasting in breath, allows consultant's selection to need the problem of playing legal opinion topic, then consultant
It is exported in a manner of voice input and needs the problem of playing legal opinion topic, when consultant is output by voice module input
After needing the problem of playing topic, voice broadcasting is carried out to the corresponding legal opinion of input problem topic.
Voice collecting judgment module carries out keyword when carrying out voice input by voice input module for consultant
It extracts, the keyword extraction time order and function extracted is then arranged in time shaft and is sent to screening module.Voice collecting judgement
Module restarts the keyword in acquisition input voice, so after the interrupt instruction for receiving the transmission of time shaft update module
The keyword extracted is successively rearranged into time shaft according to extraction time afterwards and is sent to screening module.
Time shaft update module is extracted in adjacent input in voice twice for consultant when carrying out voice input respectively
Keyword, and the relevance between two keywords is being judged after keyword extraction, when the relevance between two keywords is low
When 60%, time shaft update module will send interrupt instruction and give voice collecting judgment module.
Intelligent sound playing module, for receive screening module transmission related information, then automatically to related information into
Row plays, and upstream information first plays when related information plays.
In addition, a kind of artificial intelligence law consultation platform is directed to, as shown in Fig. 2, the present embodiment additionally provides a kind of government
To consultation platform payment expense for the legal advice business model of consultant's free answer, include the following steps:
S1, voice input: the consultant for needing to carry out legal advice carries out method by the voice input module of consulting terminal
The voice of rule problem inputs, and then the voice messaging of input is sent to server by voice input module, enters step later
S2, S8 and S11.
S2, speech analysis: after the speech analysis module in server receives the voice messaging of voice input module transmission,
The voice messaging received is parsed into text information by the speech analysis technology of Iflytek limited liability company, then will
Text information is sent to text resolution module, enters step S3 later.
S3, text resolution: after the text resolution module in server receives the text information of speech analysis module transmission,
Existed according to legal field involved by text information institute suitable environment, the relevant existence general knowledge of text information and text information etc.
The answer information that matching text information is suitable in exam pool memory module is answered, is reached in text information and answer information matches degree
When 90%, which is sent to legal opinion output module, enters step S4;If text
Information and answer information matches degree are below 90%, then text information are sent to answer information generating module, enter step later
Rapid S12.
S4, voice output: the voice output module in consulting terminal receives text resolution module and authentication module is sent
Answer information after, will answer information in legal opinion carry out voice output, i.e., to consultant propose the problem of solve
It answers, then sends related question output request and give related question extraction module, enter step S5 later.
S5, related question extract: the related question extraction module in server receives the defeated of voice output module transmission
It after requesting out, extracts in related information memory module and asks a question relevant related information with consultant, be then associated with letter
The downstream information that the consultant is asked a question is found in breath, it is rear to related question seek module send downstream information whether export
Judgement request, enter step S6.
Whether S6, inquiry related information need: the related question for seeking advice from terminal seeks module and receives related question extraction
After the judgement request that module is sent, the confirmation message of voice output " whether needing to be associated problem understanding " is logical in consultant
When crossing voice input module answer " needs ", related question seeks module and consultant's answer information is sent to related question extraction
Module enters step S7 later.
S7, related information output: when the related question extraction module in server receives related question, to seek module anti-
After the consultant of feedback answers information, corresponding downstream information is sent to the related information output module in consulting terminal, association
After message output module receives the downstream information of related question extraction module transmission, problem topic in downstream information is subjected to language
Sound plays, and consultant's selection is allowed to need the problem of playing legal opinion topic, and then consultant is defeated in a manner of voice input
The problem of playing legal opinion topic is needed out, needs the problem of playing topic when consultant is output by voice module input
Afterwards, voice broadcasting is carried out to the corresponding legal opinion of input problem topic, enters step S8.
S8, keyword extraction time shaft generate: the voice collecting judgment module in consulting terminal passes through voice in consultant
Input module carries out the extraction that keyword is carried out when voice input, is then arranged in the keyword extraction time order and function extracted
Time shaft is sent to screening module, enters step S9.
S9, related information screening: the screening module in server receives the time shaft of voice collecting judgment module transmission
Afterwards, it is found in intelligence questions memory module according to a nearest keyword of time shaft and is associated with letter with the Keywords matching
Breath, then matches keyword on time shaft with the answer information in related information, and matching rate is higher than to 90% answer
Information corresponds on time shaft, and the no and corresponding related information of time shaft is sent to intelligent sound playing module, enters
Step S10.
S10, intelligent sound play: the intelligent sound playing module in consulting terminal receives the association of screening module transmission
Information carries out voice broadcasting to related information automatically, and upstream information preferentially plays when related information plays, and later, enters step
S11。
S11, time shaft update: consulting terminal in time shaft update module consultant by voice input module into
Keyword is extracted in adjacent input in voice twice respectively when row voice inputs, and judges two keywords after keyword extraction
Between relevance, when the relevance between two keywords be lower than 60% when, time shaft update module will send interrupt instruction
Give voice collecting judgment module;Voice collecting judgment module is after the interrupt instruction for receiving the transmission of time shaft update module, weight
Newly start the keyword in acquisition input voice, when being then successively rearranged into the keyword extracted according to extraction time
Between axis be sent to screening module, enter step S9.
S12, answer information generate: the answer information generating module in server receives the language of text resolution module transmission
After justice extracts content, the articles of law stored in extraction of semantics content and articles of law memory module are subjected to similarity mode,
When extraction of semantics content and articles of law matching degree reach 90%, then using the articles of law information as legal opinion, entrance
Step S3.
Embodiment two
Embodiment two and the difference of embodiment one be, a kind of server in embodiment two further include: artificial intelligence law
Consultation platform further includes verifying terminal, and verifying terminal includes: authentication module, and authentication module is for receiving answer information generating module
Then answer information is shown and is checked for staff that staff judges to ask in answer information by the answer information of transmission
Whether correct, then progress judging result input is matched between topic topic and legal opinion.Judging result information is inputted
When, if matching between problem topic and legal opinion, the judging result information of input is pair, if problem topic and legal advice
It is mismatched between book, then the judging result information inputted is that staff according to problem topic obtains one and required searching law
The relevant keyword of clause.It, then will judgement when staff judges to match correct between the problem topic and legal opinion
Result information is inputted from authentication module, if matching between problem topic and legal opinion, authentication module sentences this
The corresponding answer information of result information of breaking is stored into answer exam pool memory module, meanwhile, authentication module will answer information transmission
To voice output module.When matching error between staff's decision problem topic and legal opinion, then authentication module will
The problems in judging result information answer information corresponding with judging result information topic information is sent to answer information and generates
Module.
Answer information generating module is also used to receive the answer information judgement corresponding with answer information of authentication module transmission
Result information will answer information after the answer information and judging result information that answer information module receives authentication module transmission
It is matched with the extraction of semantics content in judging result information with articles of law, when extraction of semantics content and articles of law match
Degree reaches 90%, then using the articles of law information as legal opinion, using text information as problem topic, then by problem
Topic and legal opinion are combined into answer information and are sent to authentication module.
Embodiment three
Embodiment three and the difference of embodiment two are that server further includes dereferenced problem inquiry mould in embodiment three
Block, dereferenced problem inquiry module are used to ask questions not with consultant when consultant has just started and asked questions needed for consulting
(no relevance refers to that selection consultant asks a question and answers and is not belonging to be associated between information the answer information of relevant property
Information) it is sent to voice output module progress voice output, then consultant carries out response voice letter by voice input module
The input of breath just starts the answer information matches and output asked questions needed for carrying out consultant later.It is defeated to answer information progress
The problem of mainly information is answered in output when out topic, when generating time shaft, it is defeated that dereferenced problem consultation module is sent to voice
The ingredient that the keyword that the response voice messaging of the answer information of module and consultant extract out is generated not as time shaft with
The foundation that time shaft updates.
Emotion judgment module, emotion judgment module are used to judge consultant in response according to the response voice messaging of consultant
The mood contained by voice messaging when carrying out other problems input after information input, then believes mood contained by the voice messaging
Breath is sent to information authenticity judgment module.When emotion judgment module judges the voice messaging mood that consultant inputs,
The reason of being judged according to response voice messaging is, when consultant inputs response voice messaging, since dereferenced problem is ask
The problem of consulting needed for asking the answer information and consultant that module exports, is simultaneously uncorrelated, so consultant is hearing this answer letter
When the problems in breath topic, it will feel extremely to confuse, but under normal circumstances although consultant is puzzled but can feel this solution
It answers the consulting of information necessarily and needed for oneself to ask questions associated or certainly exist certain purpose, so consultant can confuse
In the state of tranquiler input response voice messaging.It is asked questions after judging consultant according to response voice messaging defeated
When the voice messaging mood entered, the word speed and volume of consultant in response voice messaging are judged, it then will consulting
The voice messaging inputted when seeking advice from after person compares with the word speed and volume of response voice messaging and judges its word speed
Increase how many with volume, the number of the word speed of input voice information and volume incrementss when asking questions later according to consultant
Judge contained mood in the voice messaging inputted when the consultant asks questions, Main Analysis consultant's excitement journey when mood is analyzed
Degree.
Then information authenticity judgment module is believed for receiving the emotional information of emotion judgment module transmission according to mood
Breath judges contained content authenticity in corresponding voice messaging.Information authenticity judgment module is true to content contained in voice messaging
When property is judged, judge institute's presentation content in the voice messaging according to the exciting degree of consultant's input voice information
Authenticity.Since people is when being related to oneself interests or exciting grievance, the fact can usually be exaggerated when statement and towards
Oneself is spoken, that is, the content spoken is more advantageous to oneself, if at this moment according to the voice messaging of consultant's input according to embodiment one
Mode match answer information will likely matched answer information practicability or grade of fit reduction, so judging authenticity
It is that more particularly suitable answer information is matched for the authenticity of the content according to expressed by voice messaging.
Information generating module is answered in the authenticity matching answer information of the content according to expressed by voice messaging, according to language
Message ceases the reduction of expressed content authenticity, and the answer information of output is related to that possibility is more, i.e., consultant is more exciting, defeated
A possibility that content authenticity expressed by the voice messaging entered is just lower, corresponds to involved in the answer information of output is just more,
The information content contained in answer information is bigger, can not only understand oneself institute's input voice information expression content most convenient for consultant
Close to answer information, moreover it is possible to obtain the answer information under consultant's voice messaging expression content contrary circumstance.
What has been described above is only an embodiment of the present invention, and the common sense such as well known specific structure and characteristic are not made herein in scheme
Excessive description, technical field that the present invention belongs to is all before one skilled in the art know the applying date or priority date
Ordinary technical knowledge can know the prior art all in the field, and have using routine experiment hand before the date
The ability of section, one skilled in the art can improve and be implemented in conjunction with self-ability under the enlightenment that the application provides
This programme, some typical known features or known method should not become one skilled in the art and implement the application
Obstacle.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, can also make
Several modifications and improvements out, these also should be considered as protection scope of the present invention, these all will not influence the effect that the present invention is implemented
Fruit and patent practicability.The scope of protection required by this application should be based on the content of the claims, the tool in specification
The records such as body embodiment can be used for explaining the content of claim.
Claims (7)
1. a kind of artificial intelligence law consultation platform, which is characterized in that including server and consulting terminal, the consulting terminal with
Server signal connection;The consulting terminal is used to acquire the consultation information asked questions needed for consultant, and will be collected
Consultation information is sent to server;
The server includes semantic meaning analysis module, and the corresponding answer model of consultation information is previously stored in the server,
The server receives and carries out semantic solution to consultation information according to semantic meaning analysis module after the consultation information of acquisition terminal transmission
Analysis, and semantic parsing result is input in answer model, answer model generates the answer letter that the semanteme parsing result matches
Breath is sent to consulting terminal, and consulting terminal receives defeated to the answer information progress received after the answer information of server transmission
Out.
2. artificial intelligence law consultation platform according to claim 1 and business model, which is characterized in that the consulting is eventually
End is mobile phone or computer.
3. artificial intelligence law consultation platform according to claim 1 and business model, which is characterized in that the consulting is eventually
End is robot.
4. artificial intelligence law consultation platform according to claim 2 or 3, which is characterized in that the consultation information is language
Message breath, the consulting terminal include voice input module and voice output module, and the voice input module is used for consultant
Voice collecting is carried out when being putd question to by seeking advice from terminal;The voice output module for seek advice from terminal carry out answer information it is defeated
Voice output is carried out when out.
5. artificial intelligence law consultation platform according to claim 3, which is characterized in that the semantic meaning analysis module includes
Speech analysis module and text resolution module, the speech analysis module will be for that will seek advice from the collected voice messaging parsing of terminal
Extraction of semantics is carried out at text information, and by text information, then matches the semantic content of extraction and answer information,
Corresponding answer information is sent to consulting terminal after answer information matches success.
6. artificial intelligence law consultation platform according to claim 4, which is characterized in that further include that related question seeks mould
Block, the related question seek module and choose whether to carry out the relevant related question consulting of consultation information for consultant.
7. a kind of artificial intelligence law seeks advice from business model, which comprises the steps of:
S1, voice input: government is asked questions to consultant after legal advice platform payment expense by seeking advice from terminal
Voice messaging input, is then sent to server for the voice messaging of input;
S2, speech analysis: server receive consulting terminal send voice messaging after the voice messaging is parsed into it is corresponding
Text information;
S3, text resolution: server matches the answer information that the text information of parsing and server memory store up, and works as answer
The answer information of successful match is sent to consulting terminal after information and text information successful match;
S4, voice output: consulting terminal receive server transmission parsing information after by the answer information carry out voice output.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810805091.4A CN109146726A (en) | 2018-07-20 | 2018-07-20 | A kind of artificial intelligence law consultation platform and business model |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810805091.4A CN109146726A (en) | 2018-07-20 | 2018-07-20 | A kind of artificial intelligence law consultation platform and business model |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109146726A true CN109146726A (en) | 2019-01-04 |
Family
ID=64801416
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810805091.4A Pending CN109146726A (en) | 2018-07-20 | 2018-07-20 | A kind of artificial intelligence law consultation platform and business model |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109146726A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109829709A (en) * | 2019-01-15 | 2019-05-31 | 深圳市云歌人工智能技术有限公司 | The method, apparatus and storage medium of voice communication expense are set |
CN109857850A (en) * | 2019-01-18 | 2019-06-07 | 深圳壹账通智能科技有限公司 | Counsel requests processing method, device, computer equipment and storage medium |
CN111324719A (en) * | 2020-03-04 | 2020-06-23 | 重庆百事得大牛机器人有限公司 | Fuzzy recognition system for legal consultation |
CN111353034A (en) * | 2020-02-28 | 2020-06-30 | 重庆百事得大牛机器人有限公司 | Legal fact correction system and method based on gesture collection |
CN111353307A (en) * | 2020-02-29 | 2020-06-30 | 重庆百事得大牛机器人有限公司 | Legal opinion book evaluation system and method based on simple evidence |
CN111368098A (en) * | 2020-03-31 | 2020-07-03 | 杭州实在智能科技有限公司 | Scenario-based legal consultation assessment system |
WO2021090302A1 (en) * | 2020-12-05 | 2021-05-14 | Salehi Vahid | Smart assistant legal system |
CN113190671A (en) * | 2021-04-01 | 2021-07-30 | 南通简律数字科技有限公司 | Intelligent on-duty system for legal problems of sharing law institute |
CN113409173A (en) * | 2021-06-29 | 2021-09-17 | 重庆市司法局 | Legal assistance system and method |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104657492A (en) * | 2015-03-06 | 2015-05-27 | 蔡伟英 | Method and system for searching setting items based on voice recognition |
CN106484801A (en) * | 2016-09-23 | 2017-03-08 | 厦门快商通科技股份有限公司 | A kind of dialogue method of intelligent customer service robot and its knowledge base management system |
CN107220912A (en) * | 2017-06-12 | 2017-09-29 | 上海市高级人民法院 | Litigation services intelligence system and robot |
CN107515932A (en) * | 2017-08-28 | 2017-12-26 | 北京智诚律法科技有限公司 | Artificial intelligence law consulting system based on typical problem storehouse |
CN109033336A (en) * | 2018-07-20 | 2018-12-18 | 吴怡 | Legal advice robot and business model based on artificial intelligence |
-
2018
- 2018-07-20 CN CN201810805091.4A patent/CN109146726A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104657492A (en) * | 2015-03-06 | 2015-05-27 | 蔡伟英 | Method and system for searching setting items based on voice recognition |
CN106484801A (en) * | 2016-09-23 | 2017-03-08 | 厦门快商通科技股份有限公司 | A kind of dialogue method of intelligent customer service robot and its knowledge base management system |
CN107220912A (en) * | 2017-06-12 | 2017-09-29 | 上海市高级人民法院 | Litigation services intelligence system and robot |
CN107515932A (en) * | 2017-08-28 | 2017-12-26 | 北京智诚律法科技有限公司 | Artificial intelligence law consulting system based on typical problem storehouse |
CN109033336A (en) * | 2018-07-20 | 2018-12-18 | 吴怡 | Legal advice robot and business model based on artificial intelligence |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109829709A (en) * | 2019-01-15 | 2019-05-31 | 深圳市云歌人工智能技术有限公司 | The method, apparatus and storage medium of voice communication expense are set |
CN109857850A (en) * | 2019-01-18 | 2019-06-07 | 深圳壹账通智能科技有限公司 | Counsel requests processing method, device, computer equipment and storage medium |
CN111353034A (en) * | 2020-02-28 | 2020-06-30 | 重庆百事得大牛机器人有限公司 | Legal fact correction system and method based on gesture collection |
CN111353307A (en) * | 2020-02-29 | 2020-06-30 | 重庆百事得大牛机器人有限公司 | Legal opinion book evaluation system and method based on simple evidence |
CN111324719A (en) * | 2020-03-04 | 2020-06-23 | 重庆百事得大牛机器人有限公司 | Fuzzy recognition system for legal consultation |
CN111324719B (en) * | 2020-03-04 | 2023-05-05 | 重庆百事得大牛机器人有限公司 | Fuzzy recognition system for legal consultation |
CN111368098A (en) * | 2020-03-31 | 2020-07-03 | 杭州实在智能科技有限公司 | Scenario-based legal consultation assessment system |
CN111368098B (en) * | 2020-03-31 | 2023-04-07 | 杭州实在智能科技有限公司 | Scenario-based legal consultation assessment system |
WO2021090302A1 (en) * | 2020-12-05 | 2021-05-14 | Salehi Vahid | Smart assistant legal system |
CN113190671A (en) * | 2021-04-01 | 2021-07-30 | 南通简律数字科技有限公司 | Intelligent on-duty system for legal problems of sharing law institute |
CN113409173A (en) * | 2021-06-29 | 2021-09-17 | 重庆市司法局 | Legal assistance system and method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109146726A (en) | A kind of artificial intelligence law consultation platform and business model | |
CN107943998B (en) | Man-machine conversation control system and method based on knowledge graph | |
CN109033336A (en) | Legal advice robot and business model based on artificial intelligence | |
US20100114684A1 (en) | Chat rooms search engine queryer | |
US20110231353A1 (en) | Artificial intelligence application in human machine interface for advanced information processing and task managing | |
CN109002538A (en) | Legal advice cloud platform and method based on database | |
CN109462707A (en) | Method of speech processing, device and computer equipment based on automatic outer call system | |
CN102737022B (en) | Method and device for acquiring and searching relevant knowledge information | |
CN107368548A (en) | Intelligent government affairs service interaction method and system | |
CN110929045A (en) | Construction method and system of poetry-semantic knowledge map | |
CN112925888A (en) | Method and device for training question-answer response and small sample text matching model | |
CN111259124A (en) | Dialogue management method, device, system and storage medium | |
CN109086368A (en) | A kind of legal advice robot based on artificial intelligence cloud platform | |
CN109145106A (en) | A kind of self-learning type legal advice robot | |
CN110321414B (en) | Artificial intelligence consultation service method and system based on deep learning | |
CN110059174B (en) | Query guiding method and device | |
CN111340555A (en) | Suggestion decision-making system and method based on user portrait model in legal field | |
CN109086372A (en) | It is a kind of based on artificial intelligence application in the more wheel session methods and system of legal advice | |
CN113918697A (en) | Optimization method and optimization system of intelligent question-answering system | |
CN117474505A (en) | Conversational part-part recruitment method based on local knowledge base and AI large model | |
CN109712645A (en) | Autonomous phone system and autonomous call method | |
CN109146725A (en) | It is a kind of for support robot provide legal advice service cloud platform | |
CN110765242A (en) | Method, device and system for providing customer service information | |
KR20230140722A (en) | Method and apparatus for artificial intelligence psychological counseling based on chat bot | |
CN109145086A (en) | It is a kind of for legal advice and intelligent robot easy to spread and its business model |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20200107 Address after: 401147 Office 1, building 18, xiangnai mansion, Zhongyu, No. 101, Xinji Avenue, Longxi street, Yubei District, Chongqing Applicant after: Chongqing best Daniel robot Co.,Ltd. Address before: 401147 Nineteen Floors, 7 Chennai Mansion, No. 99 Xinji Avenue, Yubei District, Chongqing Applicant before: Wu Yi |
|
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190104 |