CN108154282A - The method and apparatus for obtaining judge's workload - Google Patents
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Abstract
The invention discloses a kind of method and apparatus for obtaining judge's workload.Wherein, this method includes:Obtain the more parts of judgement documents submitted in preset time;Every part of judgement document is parsed, obtains multiple analysis results, wherein, analysis result includes at least one of following:Department where the title of judgement document, the length of judgement document, the name of judge, the role of judge, the position of judge and judge;Judge's list is polymerize according to multiple analysis results;The quantization weight of each judgement document is determined according to judge's list;The workload of judge is obtained according to quantization weight.The present invention is solved due to the standard in the prior art without unified metric judge's workload so that counting the technical issues of judge's workload is difficult.
Description
Technical field
The present invention relates to Information Statistics field, in particular to a kind of method and dress for obtaining judge's workload
It puts.
Background technology
At present, China's judicatory faces the problem of " the more people of case are few " and " people is more, and case is few " two aspects simultaneously:On the one hand,
The growth rate of caseload is decided a case the growth rate of personnel far above law court, and judge's pressure of handling a case is increasing, simultaneously
Also higher requirement is proposed to the guarantee for trying quality;On the other hand, the quantity that judge settles a case is quite huge, but
It winds up the case per capita several relatively low, the present situation of " people is more, and case is few " causes judicial efficiency to be queried.
The method for counting judge's workload is typically the number for handling case for counting judge within the unit interval
Amount, due to the difference between different levels of trial, different regions law court, the complexity of merit also contributes to the situation of winding up the case of case, because
This, can only analyze influencing the factor that determine of judge's workload at present, but can not with some unified, exact number come
Summarize and weigh the workload of judge.
The method of calculating judge's working unit amount proposed in some existing articles is:
But in the problem of practical, every judge is different in the role that serves as in the process of handling a case, in law court
The workload of different role is not quite similar again in different departments, has thereby resulted in the tired of unified calculation personnel in charge of the case's real work amount
It is difficult so that judge is not quite similar in face of the complexity of case, can not come with reference to the actual conditions of case to judge's
Workload is reasonably assessed.
For the above-mentioned standard due in the prior art without unified metric judge's workload so that statistics is examined
Sentence person works and measure the problem of difficult, currently no effective solution has been proposed.
Invention content
An embodiment of the present invention provides a kind of method and apparatus for obtaining judge's workload, at least to solve due to existing
There is the standard for not having unified metric judge's workload in technology so that the technology of statistics judge's workload difficulty
Problem.
One side according to embodiments of the present invention provides a kind of method for obtaining judge's workload, including:It obtains
Take more parts of judgement documents of the submission in preset time;Every part of judgement document is parsed, obtains multiple analysis results, wherein, parsing
As a result it includes at least one of following:The title of judgement document, the length of judgement document, the name of judge, judge
Department where role, the position of judge and judge;Judge's list is polymerize according to multiple analysis results;
The quantization weight of each judgement document is determined according to judge's list;The workload of judge is obtained according to quantization weight.
Another aspect according to embodiments of the present invention additionally provides a kind of device for obtaining judge's workload, including:
Acquisition module, for obtaining more parts of judgement documents of the submission in preset time;Parsing module, for parsing every part of judge's text
Book obtains multiple analysis results, wherein, analysis result includes at least one of following:The title of judgement document, the length of judgement document
Department where degree, the name of judge, the role of judge, the position of judge and judge;It polymerize mould
Block, for polymerizeing judge's list according to multiple analysis results;First computing module, for true according to judge's list
The quantization weight of fixed each judgement document;Second computing module, for obtaining the workload of judge according to quantization weight.
In embodiments of the present invention, by the way of multidimensional metrization judge's workload, by obtaining preset time
More parts of judgement documents of interior submission, parse every part of judgement document, and polymerize judge according to the result after parsing
Then list determines the quantization weight of each judgement document according to judge's list, is finally tried according to quantization weight
The workload of personnel has achieved the purpose that carry out unified metric to the workload of judge, it is achieved thereby that judge
Workload carries out the technique effect rationally accurately assessed, and then solves due to trying people without unified metric in the prior art
The standard of member's workload is so that count the technical issues of judge's workload is difficult.
Description of the drawings
Attached drawing described herein is used to provide further understanding of the present invention, and forms the part of the application, this hair
Bright illustrative embodiments and their description do not constitute improper limitations of the present invention for explaining the present invention.In the accompanying drawings:
Fig. 1 is a kind of method flow diagram of acquisition judge workload according to embodiments of the present invention;
Fig. 2 is a kind of schematic diagram of optional paper of civil judgement according to embodiments of the present invention;
Fig. 3 is a kind of optional method flow diagram for obtaining judge's workload according to embodiments of the present invention;
Fig. 4 is a kind of optional method flow diagram for obtaining judge's workload according to embodiments of the present invention;
Fig. 5 is a kind of optional method flow diagram for obtaining judge's workload according to embodiments of the present invention;And
Fig. 6 is a kind of apparatus structure schematic diagram of acquisition judge workload according to embodiments of the present invention.
Specific embodiment
In order to which those skilled in the art is made to more fully understand the present invention program, below in conjunction in the embodiment of the present invention
The technical solution in the embodiment of the present invention is clearly and completely described in attached drawing, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's all other embodiments obtained without making creative work should all belong to the model that the present invention protects
It encloses.
It should be noted that term " first " in description and claims of this specification and above-mentioned attached drawing, "
Two " etc. be the object for distinguishing similar, and specific sequence or precedence are described without being used for.It should be appreciated that it uses in this way
Data can be interchanged in the appropriate case, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, be not necessarily limited to for example, containing the process of series of steps or unit, method, system, product or equipment
Those steps or unit clearly listed, but may include not listing clearly or for these processes, method, product
Or the intrinsic other steps of equipment or unit.
Embodiment 1
According to embodiments of the present invention, a kind of embodiment of the method for obtaining judge's workload is provided.
Fig. 1 is the method flow diagram of acquisition judge's workload according to embodiments of the present invention, as shown in Figure 1, the party
Method includes the following steps:
Step S102 obtains the more parts of judgement documents submitted in preset time.
In the technical solution limited in above-mentioned steps S102, above-mentioned preset time can be to calculate judge's workload
Period, within the period, judge has handled more parts of judgement documents.Wherein, more parts of judgement documents are by multiple departments
Multiple judges in different posies carry out processing completion.
It should be noted that in same a judgement document, different departments, different posies, the trial for serving as different role
The workload of personnel is that different, i.e., different department, different posies and different role have same a judgement document
Different contributions.
Step S104 parses every part of judgement document, obtains multiple analysis results, wherein, analysis result includes at least as follows
One of:The duty of the title of judgement document, the length of judgement document, the name of judge, the role of judge, judge
Position and judge where department.
In the scheme limited in above-mentioned steps S104, Fig. 2 shows a paper of civil judgement, to above-mentioned judgement document into
After row dissection process, analysis result is stored in database or full-text index.Wherein, the result after being parsed to judgement document can be with
As shown in table 1.
Table 1
Database Identification name | Identify corresponding title | Analysis result |
JD_Name | Judgement document's title | " XXX higher people's courts civil ruling paper " |
JD_Length | Judgement document's length | “243” |
Judge_Name | Judge's name | " Zhang San ", " Li Si ", " Zhao five ", " king six " |
Judge_Role | Judge role | " presiding judge ", " judge ", " acting judge ", " clerk " |
By above-mentioned steps, information included in every part of judgement document can be obtained, and these information are stored in data
In library, the opposite workload of related trial personnel can be obtained by carrying out inquiry operation to database.
Step S106 polymerize judge's list according to multiple analysis results.
In the scheme limited in above-mentioned steps S106, after dissection process is carried out to multiple judgement documents, it can obtain more
A analysis result.It is participated in specifically, the judge can be inquired according to the name of a certain judge in the database
The role that is served as in every part of judgement document of the title of judgement document, the length of every part of judgement document and the judge
Etc. information, table 2 show according to the part for judge's list that is polymerize to multiple analysis results of database.
Table 2
JD_Name | JD_Length | Judge_Role |
" XXX higher people's courts civil ruling paper " | “243” | " presiding judge " |
" the criminal written verdict of XXX higher people's courts " | “244” | " judge " |
" XXX higher people's courts administrative ruling in writing " | “124” | " acting judge " |
" XXX higher people's courts written verdict concerning foreign affairs " | “265” | " clerk " |
By above-mentioned steps, judge's list can be obtained, each trial can be inquired according to judge's list
Information of the personnel in each case, these information are carried out with corresponding processing can obtain the opposite workload of judge.
Step S108 determines the quantization weight of each judgement document according to judge's list.
In the scheme limited in above-mentioned steps S108, each judge can be obtained at every part according to judge's list
Role in judgement document, and the judge is obtained according to role of each judge in every part of judgement document and serves as angle
The quantization weight of color determines that the case of each judgement document is arranged by quantization weight and according to trial according to the case origin of each case
Each trial factor in table respectively obtains quantization weight of each judgement document under these factors.
It should be noted that the case of above-mentioned judgement document by the length of judgement document by can be described, it is above-mentioned each careful
The quantization weight for sentencing factor is also related with the number that judge occurs under each trial factor.
By above-mentioned steps, each trial factor can be quantified, each trial can be obtained according to the quantized value
The opposite workload of personnel has been unified to carry out the workload of judge the standard to amount.
Step S110 obtains the workload of judge according to quantization weight.
In the scheme limited in above-mentioned steps S110, according to quantization weight of each judge under each trial factor
And preset each trial factor weight value can determine the workload of judge.Specifically, can to quantization weight with
And weighted value carries out summation process, so as to obtain the workload of each judge in certain period of time.Wherein, on
It is opposite workload to state workload.
Need what is illustrated, by being ranked up processing to the workload being calculated in above-mentioned steps S110, and will sequence
As a result it preserves into database, can easily inquire the workload of each judge.By step S110, can obtain
The opposite workload of each judge has been unified to be not easy to quantify to examine to measuring the standard of judge's workload, and then solving
Sentence the problem of person works' amount.
Based in the scheme disclosed in above-mentioned steps S102 to step S110, it can know and be carried by obtaining in preset time
The more parts of judgement documents handed over, parse every part of judgement document, and polymerize judge's list according to the result after parsing,
Then the quantization weight of each judgement document is determined according to judge's list, finally obtains judge's according to quantization weight
Workload is easily noted that, as a result of the mode of multidimensional metrization judge's workload, each portion to law court
The factors such as door, trial post, the role of judge, level of trial, merit complexity carry out weight quantization, therefore reached to examining
The workload for sentencing personnel carries out the purpose of unified metric, it is achieved thereby that carrying out rationally accurately assessment to judge's workload
Technique effect, and then solve due in the prior art without it is same measurement judge's workload standard so that system
Count the technical issues of judge's workload is difficult.
Fig. 3 is shown before above-mentioned steps S102 is performed, i.e., in more parts of judge's texts for obtaining the submission in preset time
Method flow diagram before book, as shown in figure 3, this method specifically comprises the following steps:
Step S302, the dimension weight dictionary value of preset at least one trial factor, wherein, dimension weight dictionary value is at least
Including one of following:The weighted value of the title of at least one trial factor and at least one trial factor, at least one trial
The sum of weighted value of factor is 1.
It is above-mentioned to sentence factor including at least one of following in the scheme limited in above-mentioned steps S302:The portion of judge
Door, the post of judge, the role of judge, the level of trial of case, the complexity of judgement document, the type of judgement document
And the length of judgement document, the wherein length of judgement document are used to characterize case by different trial factors have different weights
Dictionary value.In a kind of optional embodiment, the dimension for trying factor is two dimension, you can is represented with { K, V }, wherein K is used for
Represent the title of trial factor, V is used to represent the weighted value of trial factor.Table 3 shows that in trial factor be respectively department, hilllock
Corresponding dimension weight dictionary value under five position, role, level of trial and judgement document's length factors, as shown in table 3.
Table 3
Title | Weighted value |
Department | V0 |
Post | V1 |
Role | V2 |
Level of trial | V3 |
Judgement document's length | V4 |
Assuming that K0、K1、K2、K3、K4Respectively department, post, role, level of trial and judgement document's length, this five trials
The dimension weight dictionary value of factor can be expressed as { K0,V0}、{K1,V1}、{K2,V2}、{K3,V3}、{K4,V4, wherein 0≤V0≤
1、0≤V1≤1、0≤V2≤1、0≤V3≤1、0≤V4≤1.In the case where trial factor only has above-mentioned five factors, V0+V1+
V2+V3+V4=1.
Step S304 builds at least one factor of deciding a case according at least one trial factor and dimension weight dictionary value
Dictionary table.
In the scheme limited in above-mentioned steps S304, according to each trial because usually building dictionary table, pass through inquiry
The dictionary table can determine the weighted value under each trial factor.For example, can from method mark structure case by dictionary table, according to
Case is built per case by level by corresponding weights, case is established by weight table, wherein single case is 1 by tree weights summation;It can be with
Department's dictionary table is built from law court's department table, according to the weights of each department of department's different set, wherein all department's weights
Summation is 1;Post dictionary table can be built from law court's quarter bill, according to the weights in each post of post different set, wherein
All post weights summations are 1;Level of trial dictionary table can also be built from method mark level of trial table, is each examined according to level of trial different set
The weights of grade, wherein all level of trial weights summations are 1;Document type dictionary table can also be built from method mark document type list,
According to the weights of each document type of document type different set, wherein all document type weights summations are 1.
Fig. 4, which is shown, performs step S108, i.e., the method that the quantization weight of judgement document is determined according to judge's list
Flow chart specifically comprises the following steps:
Step S402 counts the occurrence number of judge according to judge's list;
Step S404 determines dictionary weighted value according to the dictionary table of judge's list and at least one factor of deciding a case;
Step S406, the number and dictionary weighted value that are occurred according to judge determine the quantization weight of judgement document.
In the scheme limited in step S402 to step S406, each judge can be obtained by inquiring department table
The department at place, the department according to where judge, above-mentioned dictionary weight can be obtained by inquiring department's dictionary table of the department
Value, is denoted as v0;The number that the judge occurs in all judgement documents is counted simultaneously, is denoted as n0.According to n0And v0,
Quantization weight under this trial factor of department is obtained by following formula:
N0=n0*v0
It should be noted that by the above method, the quantization weight under each trial factor can be calculated respectively.
Fig. 5, which is shown, performs step S110, i.e., the method flow diagram of the workload of judge is obtained according to quantization weight,
Specifically comprise the following steps:
Step S502 is determined according to the quantization weight of the weighted value of at least one trial factor and judgement document at least one
The weighted value of workload under a trial factor;
Step S504 calculates the sum of weighted value of workload under at least one trial factor, wherein, result of calculation is
The relative value of the workload of judge.
In the scheme limited in above-mentioned steps S502 to step S504, trial factor only have department, post, role,
In the case of level of trial and judgement document's length this five trial factors, the quantization under each trial factor can be obtained respectively
Weighted value, i.e. the quantization weight value of each trial factor by being obtained in all judgement documents:
Assuming that the dictionary value of this five trial factors is respectively V0、V1、V2、V3And V4, then under this five trial factors
The weighted value of workload is respectively:N0*V0、N1*V1、N2*V2、N3*V3And N4*V4.The relative value of the workload of the judge
For:
X=N0*V0+N1*V1+N2*V2+N3*V3+N4*V4
It is somebody's turn to do it should be noted that the result of calculation being calculated by above formula is only used for assessment for the workload of judge
The workload of judge in period, the workload are relative value.
Embodiment 2
According to embodiments of the present invention, a kind of device embodiment for obtaining judge's workload is provided, wherein, above-mentioned reality
It applies and is run in the device that the method in example 1 can be provided in the present embodiment.
Fig. 6 is the apparatus structure schematic diagram of acquisition judge's workload according to embodiments of the present invention, as shown in fig. 6,
The device includes:Acquisition module 601, parsing module 603, aggregation module 605, the first computing module 607 and the second computing module
609。
Acquisition module 601, for obtaining more parts of judgement documents of the submission in preset time.
In above-mentioned acquisition module, above-mentioned preset time can be the period for calculating judge's workload, at this
Between in section, judge has handled more parts of judgement documents.Wherein, more parts of judgement documents are by the multiple of posies different in multiple departments
Judge carries out processing completion.
It should be noted that in same a judgement document, different departments, different posies, the trial for serving as different role
The workload of personnel is that different, i.e., different department, different posies and different role have same a judgement document
Different contributions.
Parsing module 603 for parsing every part of judgement document, obtains multiple analysis results, wherein, analysis result at least wraps
It includes one of following:The title of judgement document, the length of judgement document, the name of judge, the role of judge, trial people
Member position and judge where department.
In above-mentioned parsing module, Fig. 2 shows a paper of civil judgement, and dissection process is carried out to above-mentioned judgement document
Afterwards, analysis result is stored in database or full-text index.Wherein, the result after being parsed to judgement document can be as shown in table 4.
Table 4
Database Identification name | Identify corresponding title | Analysis result |
JD_Name | Judgement document's title | " XXX higher people's courts civil ruling paper " |
JD_Length | Judgement document's length | “243” |
Judge_Name | Judge's name | " Zhang San ", " Li Si ", " Zhao five ", " king six " |
Judge_Role | Judge role | " presiding judge ", " judge ", " acting judge ", " clerk " |
By above-mentioned parsing module, information included in every part of judgement document can be obtained, and these information are stored in
In database, the opposite workload of related trial personnel can be obtained by carrying out inquiry operation to database.
Aggregation module 605, for polymerizeing judge's list according to multiple analysis results.
In above-mentioned aggregation module, after dissection process is carried out to multiple judgement documents, multiple analysis results can be obtained.
Specifically, it can inquire judgement document's that the judge participated according to the name of a certain judge in the database
Information, the tables 5 such as the role that title, the length of every part of judgement document and the judge are served as in every part of judgement document show
Go out according to the part for judge's list being polymerize to multiple analysis results of database.
Table 5
JD_Name | JD_Length | Judge_Role |
" XXX higher people's courts civil ruling paper " | “243” | " presiding judge " |
" the criminal written verdict of XXX higher people's courts " | “244” | " judge " |
" XXX higher people's courts administrative ruling in writing " | “124” | " acting judge " |
" XXX higher people's courts written verdict concerning foreign affairs " | “265” | " clerk " |
By above-mentioned aggregation module, judge's list can be obtained, can be inquired according to judge's list each
Information of the judge in each case, these information are carried out with corresponding processing can obtain the opposite work of judge
Amount.
First computing module 607, for determining the quantization weight of each judgement document according to judge's list.
In above-mentioned first computing module, each judge can be obtained in every part of judge's text according to judge's list
Role in book, and the amount that the judge serves as role is obtained according to role of each judge in every part of judgement document
Change weights, the case of each judgement document is determined according to the case origin of each case by quantization weight and according in trial list
Each trial factor respectively obtains quantization weight of each judgement document under these factors.
It should be noted that the case of above-mentioned judgement document by the length of judgement document by can be described, it is above-mentioned each careful
The quantization weight for sentencing factor is also related with the number that judge occurs under each trial factor.
By above-mentioned first computing module, each trial factor can be quantified, can be obtained according to the quantized value
The opposite workload of each judge, has unified to carry out the workload of judge the standard to amount.
Second computing module 609, for obtaining the workload of judge according to quantization weight.
In above-mentioned second computing module, according to quantization weight of each judge under each trial factor and pre-
If each trial factor weight value can determine the workload of judge.It specifically, can be to quantization weight and weight
Value carries out summation process, so as to obtain the workload of each judge in certain period of time.Wherein, above-mentioned work
It measures as opposite workload.
It needs what is illustrated, processing is ranked up, and will row by the workload that above-mentioned second computing module is calculated
Sequence result is preserved into database, can easily inquire the workload of each judge.Pass through the second computing module
609, the opposite workload of each judge can be obtained, has unified the standard to measuring judge's workload, and then solve
It is not easy to quantify the problem of judge's workload.
Herein it should also be noted that, above-mentioned acquisition module 601, parsing module 603, aggregation module 605, first calculate mould
607 and second computing module 609 of block corresponds to the step S102 to step S110 in embodiment 1, five modules and corresponding step
Suddenly the example realized is identical with application scenarios, but is not limited to the above embodiments 1 disclosure of that.
From the foregoing, it will be observed that by obtaining the more parts of judgement documents submitted in preset time, every part of judgement document is parsed,
And judge's list is polymerize according to the result after parsing, the amount of each judgement document is then determined according to judge's list
Change weights, the workload of judge is finally obtained according to quantization weight, is easily noted that, measured as a result of multidimensional
Change the mode of judge's workload, each department, trial post, the role of judge, level of trial, merit complexity journey to law court
The factors such as degree carry out weight quantization, therefore have achieved the purpose that carry out unified metric to the workload of judge, so as to fulfill
To the technique effect that judge workload rationally accurately assess, and then solve due in the prior art without same
The standard of one measurement judge's workload is so that count the technical issues of judge's workload is difficult.
Optionally, the device of above-mentioned acquisition judge workload further includes:Preset module and structure module.
Preset module, for the dimension weight dictionary value of preset at least one trial factor, wherein, dimension weight dictionary value
Including at least one of following:The weighted value of the title of at least one trial factor and at least one trial factor, it is at least one
The sum of weighted value of trial factor is 1.
It is above-mentioned to sentence factor including at least one of following in above-mentioned preset module:The department of judge, judge
Post, the role of judge, the level of trial of case, the complexity of judgement document, the type of judgement document and judgement document
Length, the wherein length of judgement document has different weight dictionary values for characterizing case by, different trial factors.In one kind
In optional embodiment, the dimension for trying factor is two dimension, you can is represented with { K, V }, wherein K is used to represent trial factor
Title, V are used to represent the weighted value of trial factor.Table 6 show trial factor be respectively department, post, role, level of trial with
And corresponding dimension weight dictionary value under five factors of judgement document's length, as shown in table 6.
Table 6
Title | Weighted value |
Department | V0 |
Post | V1 |
Role | V2 |
Level of trial | V3 |
Judgement document's length | V4 |
Assuming that K0、K1、K2、K3、K4Respectively department, post, role, level of trial and judgement document's length, this five trials
The dimension weight dictionary value of factor can be expressed as { K0,V0}、{K1,V1}、{K2,V2}、{K3,V3}、{K4,V4, wherein 0≤V0≤
1、0≤V1≤1、0≤V2≤1、0≤V3≤1、0≤V4≤1.In the case where trial factor only has above-mentioned five factors, V0+V1+
V2+V3+V4=1.
Build module, for according at least one trial factor and dimension weight dictionary value structure it is at least one decide a case because
The dictionary table of element.
It, can be with by inquiring the dictionary table according to each trial because usually building dictionary table in above-mentioned structure module
Determine the weighted value under each trial factor.For example, it structure case by dictionary table, can be built from method mark according to case by level
Per case by corresponding weights, case is established by weight table, wherein single case is 1 by tree weights summation;It can be from law court's department table
Middle structure department dictionary table, according to the weights of each department of department's different set, wherein all department's weights summations are 1;It can be with
Post dictionary table is built from law court's quarter bill, according to the weights in each post of post different set, wherein all post weights
Summation is 1;Level of trial dictionary table can also be built from method mark level of trial table, according to the weights of each level of trial of level of trial different set,
In all level of trial weights summations be 1;Document type dictionary table can also be built from method mark document type list, according to document type
The weights of each document type of different set, wherein all document type weights summations are 1.
Herein it should be noted that the step S302 that above-mentioned preset module and structure module correspond in embodiment 1 is extremely walked
Rapid S304, two modules are identical with example and application scenarios that corresponding step is realized, but it is public to be not limited to the above embodiments 1 institute
The content opened.
Optionally, above-mentioned first computing module includes:Statistical module, third computing module and the 4th computing module.Wherein,
Statistical module, for counting the occurrence number of judge according to judge's list;Third computing module, for according to trial
The dictionary table of lists of persons and at least one factor of deciding a case determines dictionary weighted value;4th computing module, for according to trial people
Number and dictionary weighted value that member occurs determine the quantization weight of judgement document.
In a kind of optional embodiment, the department where each judge can be obtained by inquiring department table, root
According to the department where judge, above-mentioned dictionary weighted value can be obtained by inquiring department's dictionary table of the department, be denoted as v0;Simultaneously
The number that the judge occurs in all judgement documents is counted, is denoted as n0.According to n0And v0, obtained by following formula
Quantization weight under this trial factor of department:
N0=n0*v0
It should be noted that by the above method, the quantization weight under each trial factor can be calculated respectively.
Herein it should be noted that above-mentioned statistical module, third computing module and the 4th computing module correspond to embodiment 1
In step S402 to step S406, the example and application scenarios that three modules and corresponding step are realized be identical but unlimited
In 1 disclosure of that of above-described embodiment.
Optionally, above-mentioned second computing module includes:5th computing module and the 6th computing module, wherein, the 5th calculates
Module, for the weighted value according at least one trial factor and the quantization weight of judgement document determine at least one trial because
The weighted value of workload under element;6th computing module, for calculating the weight of the workload under at least one trial factor
The sum of value, wherein, relative value of the result of calculation for the workload of judge.
In a kind of optional embodiment, only have department, post, role, level of trial and the judgement document long in trial factor
In the case of spending this five trial factors, the quantization weight value under each trial factor can be obtained respectively, i.e., by all
Judgement document in the obtained quantization weight value of each trial factor:
Assuming that the dictionary value of this five trial factors is respectively V0、V1、V2、V3And V4, then under this five trial factors
The weighted value of workload is respectively:N0*V0、N1*V1、N2*V2、N3*V3And N4*V4.The relative value of the workload of the judge
For:
X=N0*V0+N1*V1+N2*V2+N3*V3+N4*V4
It is somebody's turn to do it should be noted that the result of calculation being calculated by above formula is only used for assessment for the workload of judge
The workload of judge in period, the workload are relative value.
Herein it should also be noted that, above-mentioned 5th computing module and the 6th computing module correspond to the step in embodiment 1
Rapid S502 to step S504, two modules are identical with example and application scenarios that corresponding step is realized, but are not limited to above-mentioned
1 disclosure of that of embodiment.
The device for obtaining administration of justice person works amount includes processor and memory, above-mentioned acquisition module, parsing module,
Aggregation module, the first computing module and second computing module etc. are stored as program unit in memory, by processor
Perform above procedure unit stored in memory.
Comprising kernel in processor, gone in memory to transfer corresponding program unit by kernel.Kernel can set one
Or more, parse content of text by adjusting kernel parameter.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/
Or the forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM), memory includes at least one deposit
Store up chip.
Present invention also provides a kind of embodiment of computer program product, when being performed on data processing equipment, fitting
In the program code for performing initialization there are as below methods step:Obtain the more parts of judgement documents submitted in preset time;Parsing is every
Part judgement document, obtains multiple analysis results, wherein, analysis result includes at least one of following:The title of judgement document, judge
Portion where the length of document, the name of judge, the role of judge, the position of judge and judge
Door;Judge's list is polymerize according to multiple analysis results;The quantization of each judgement document is determined according to judge's list
Weights;The workload of judge is obtained according to quantization weight.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
In the above embodiment of the present invention, all emphasize particularly on different fields to the description of each embodiment, do not have in some embodiment
The part of detailed description may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of the unit, Ke Yiwei
A kind of division of logic function, can there is an other dividing mode in actual implementation, for example, multiple units or component can combine or
Person is desirably integrated into another system or some features can be ignored or does not perform.Another point, shown or discussed is mutual
Between coupling, direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, unit or module
It connects, can be electrical or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical unit, you can be located at a place or can also be distributed to multiple
On unit.Some or all of unit therein can be selected according to the actual needs to realize the purpose of this embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
That each unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is independent product sale or uses
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme of the present invention is substantially
The part to contribute in other words to the prior art or all or part of the technical solution can be in the form of software products
It embodies, which is stored in a storage medium, is used including some instructions so that a computer
Equipment (can be personal computer, server or network equipment etc.) perform each embodiment the method for the present invention whole or
Part steps.And aforementioned storage medium includes:USB flash disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can to store program code
Medium.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (10)
- A kind of 1. method for obtaining judge's workload, which is characterized in that including:Obtain the more parts of judgement documents submitted in preset time;Every part of judgement document is parsed, obtains multiple analysis results, wherein, the analysis result includes at least one of following: The title of the judgement document, the length of the judgement document, the name of judge, the judge role, described The position of judge and the department where the judge;Judge's list is polymerize according to multiple analysis results;The quantization weight of each judgement document is determined according to judge's list;The workload of the judge is obtained according to the quantization weight.
- 2. according to the method described in claim 1, it is characterized in that, in more parts of judgement documents for obtaining the submission in preset time Before, the method further includes:The dimension weight dictionary value of preset at least one trial factor, wherein, the dimension weight dictionary value includes at least as follows One of:The weighted value of the title of at least one trial factor and at least one trial factor, it is described at least one The sum of weighted value of trial factor is 1;At least one factor of deciding a case is built according at least one trial factor and the dimension weight dictionary value Dictionary table.
- 3. according to the method described in claim 2, it is characterized in that, the trial factor is including at least one of following:It is described to examine Sentence the department of personnel, the post of the judge, the role of the judge, case level of trial,The length of the complexity of the judgement document, the type of the judgement document and the judgement document.
- 4. according to the method described in claim 2, it is characterized in that, the judgement document is determined according to judge's list Quantization weight include:The occurrence number of the judge is counted according to judge's list;The dictionary of the judge is determined according to the dictionary table of judge's list and at least one factor of deciding a case Weighted value;The number and the dictionary weighted value that are occurred according to the judge determine the quantization weight of the judgement document.
- 5. according to the method described in claim 4, it is characterized in that, the work of the judge is obtained according to the quantization weight Include as amount:It is determined according to the quantization weight of the weighted value of at least one trial factor and the judgement document described at least one The weighted value of workload under a trial factor;The sum of weighted value of workload under at least one trial factor is calculated, wherein, result of calculation is the trial The relative value of the workload of personnel.
- 6. a kind of device for obtaining judge's workload, which is characterized in that including:Acquisition module, for obtaining more parts of judgement documents of the submission in preset time;Parsing module for parsing every part of judgement document, obtains multiple analysis results, wherein, the analysis result is at least Including one of following:The title of the judgement document, the length of the judgement document, the name of judge, the trial people Department where the role of member, the position of the judge and the judge;Aggregation module, for polymerizeing judge's list according to multiple analysis results;First computing module, for determining the quantization weight of each judgement document according to judge's list;Second computing module, for obtaining the workload of the judge according to the quantization weight.
- 7. device according to claim 6, which is characterized in that described device further includes:Preset module, for the dimension weight dictionary value of preset at least one trial factor, wherein, the dimension weight dictionary value Including at least one of following:The weighted value of the title of at least one trial factor and at least one trial factor, The sum of weighted value of at least one trial factor is 1;Module is built, at least one according at least one trial factor and dimension weight dictionary value structure The dictionary table of a factor of deciding a case.
- 8. device according to claim 7, which is characterized in that the trial factor includes at least one of following:It is described to examine Sentence the department of personnel, the post of the judge, the role of the judge, the level of trial of case, the judgement document The length of complexity, the type of the judgement document and the judgement document.
- 9. device according to claim 7, which is characterized in that first computing module includes:Statistical module, for counting the occurrence number of the judge according to judge's list;Third computing module, for determining word according to the dictionary table of judge's list and at least one factor of deciding a case Allusion quotation weighted value;4th computing module, number and the dictionary weighted value for being occurred according to the judge determine the judge The quantization weight of document.
- 10. device according to claim 9, which is characterized in that second computing module includes:5th computing module, for the weighted value and the quantization weight of the judgement document according at least one trial factor Determine the weighted value of the workload under at least one trial factor;6th computing module, for calculating the sum of weighted value of workload under at least one trial factor, wherein, meter Calculate relative value of the result for the workload of the judge.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110084509A (en) * | 2019-04-25 | 2019-08-02 | 郑州大学第一附属医院 | A kind of method, apparatus and system being classified for case diagnosis conclusion |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102129627A (en) * | 2011-03-24 | 2011-07-20 | 江苏电力信息技术有限公司 | Performance appraisal method based on weight adjustment |
US9058308B2 (en) * | 2012-03-07 | 2015-06-16 | Infosys Limited | System and method for identifying text in legal documents for preparation of headnotes |
CN105677727A (en) * | 2015-12-29 | 2016-06-15 | 上海律巢网络科技有限公司 | Data search and search results presenting method and system |
CN106169119A (en) * | 2016-07-04 | 2016-11-30 | 康美药业股份有限公司 | Employee work amount display method and device |
-
2016
- 2016-12-05 CN CN201611107687.4A patent/CN108154282B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102129627A (en) * | 2011-03-24 | 2011-07-20 | 江苏电力信息技术有限公司 | Performance appraisal method based on weight adjustment |
US9058308B2 (en) * | 2012-03-07 | 2015-06-16 | Infosys Limited | System and method for identifying text in legal documents for preparation of headnotes |
CN105677727A (en) * | 2015-12-29 | 2016-06-15 | 上海律巢网络科技有限公司 | Data search and search results presenting method and system |
CN106169119A (en) * | 2016-07-04 | 2016-11-30 | 康美药业股份有限公司 | Employee work amount display method and device |
Non-Patent Citations (1)
Title |
---|
屈向东: "《以案定编与法官员额的模型测算》", 《现代法学》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110084509A (en) * | 2019-04-25 | 2019-08-02 | 郑州大学第一附属医院 | A kind of method, apparatus and system being classified for case diagnosis conclusion |
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