CN109697274A - One kind sentencing volume method and sentences volume system - Google Patents

One kind sentencing volume method and sentences volume system Download PDF

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CN109697274A
CN109697274A CN201710981922.9A CN201710981922A CN109697274A CN 109697274 A CN109697274 A CN 109697274A CN 201710981922 A CN201710981922 A CN 201710981922A CN 109697274 A CN109697274 A CN 109697274A
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answer
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phrase
scoring
dictionary
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CN109697274B (en
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卢启伟
杨宁
刘佳
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Shenzhen Eaglesoul Technology Co Ltd
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Abstract

The present invention provides one kind and sentences volume system, with sentencing cirrus end and multiple sentence end of volume (EOV) end, sentencing cirrus end includes cloud scoring dictionary, the people that gos over examination papers gos over examination papers to subjective item using end of volume (EOV) end is sentenced, in going over examination papers, the model answer prestored in electronics answer and cloud scoring dictionary is compared, if certain word or phrase are pre-stored in cloud scoring dictionary, this word or phrase will be highlighted out.The people that helps to go over examination papers finds these score keywords in electronics answer, greatly improves and sentences volume efficiency.If it is also correct for encountering certain words, but it is not recorded in model answer, or it is difficult to that model answer is used to provide score as foundation, the present invention allows to go over examination papers people's maintenance criterion answer, the people that gos over examination papers is easy to find that this word is not highlighted on the screen, then can by this selected ci poem and be added to cloud scoring dictionary in, examined for other ginsengs of going over examination papers, to enable model answer continuous updating.

Description

One kind sentencing volume method and sentences volume system
Technical field
The present invention relates to Teaching Technology of Multimedia fields, in particular to one kind for being based on internet teaching platform Multimedia teaching sentence volume method and sentence volume system.
Background technique
In the systems such as training, examination, education, in order to which the study situation to student is examined, it usually needs to student It takes an exam, and scores for examination result, to understand student to the mastery of knowledge degree of study.Under normal conditions, in order to It is effectively tested and assessed to student, the examination paper for testing examination can be divided into subjective item and objective item.Wherein objective item mostly uses choosing The mode for selecting topic, due to the answer of objective item be it is fixed, be highly convenient for scoring to objective item using computer, to keep away Exempt from by the way of old group signature, the time of going over examination papers can be shortened, save the human cost goed over examination papers, improves efficiency of going over examination papers. The problems in and for subjective item, the mode that student generallys use discussion answers the questions in a test paper, during the answer of subjective item, usually need The problems in student is wanted self to play, go to answer the questions in a test paper according to the mode of thinking of oneself.Therefore the answer of subjective item is only to join It examines, is not absolute standard, therefore, now in the art, subjective item is usually to be goed over examination papers by manually.Group signature has many defects And deficiency, mainly there is two o'clock, first is that group signature efficiency is relatively low, second is that the standard of going over examination papers of group signature is difficult to unification, because The personnel's number goed over examination papers is more, and it is various, and the answer of subjective item and appraising standard that examinee expresses during answer Relatively single, therefore, the people that gos over examination papers of subjective item scale of appraising is difficult to unification, and discretion is excessive.
With the development of computer application, group signature also more uses computer technology.One is subjective item is straight Connect scanning after be indexed in system in the form of picture, the people that gos over examination papers sees the picture of subjective item before computer, this and directly go over examination papers not Any difference is only easy for including and counting for paper;Another kind is that more technical staff wish to be replaced with computer marking For group signature.
A kind of intelligent scoring method and device, computer equipment and computer-readable medium were now proposed in the art.Its Described in method include: to obtain the corresponding user's answer of examination paper;According to user's answer, it is corresponding to generate user's answer User segments library;Library, the corresponding standard scores dictionary of pre-generated model answer and the standard are segmented according to the user The weight for segmenting each standard participle in library, scores for user's answer.The program can be subjective item to type User's answer of examination paper is intelligently scored, and can be overcome in the prior art by the way of group signature, causes to score Time is longer, the higher defect of human cost, so as to effectively shorten the scoring time to examination paper, additionally it is possible to effectively save About human cost, and then greatly improve the scoring efficiency to user's answer that type is subjective item.
Prior art also teaches a kind of subjective item Auto-Evaluation System and method based on semantic similarity section, the bases In semantic similarity section subjective item automatic scoring method the following steps are included: initializing sub title mesh score value Stotal to be evaluated; Define block length L;Key for Reference is cut into the block that several length are not more than L, forms Key for Reference block collection R;It will Answer to be evaluated is cut into the block that several length are not more than L, forms answer block collection T to be evaluated;Compare set R, T, calculates two The similarity SRT of person's semanteme;SRT is mapped to similarity section, record scoring is Sfinal, and scoring terminates;It should be based on semanteme The subjective item Auto-Evaluation System in similarity section includes: answer terminal, subjective question marking module, total marks of the examination generation module. The program is to automatic marking, the scoring link of subjective item, it can be achieved that carrying out grade to subjective item answer by semantic similarity threshold It divides, and then final scoring is provided by score value constraint and each grade similarity score.
Above two mode of going over examination papers does not need people's participation substantially, but this gos over examination papers mode or method is only applicable to common survey Examination and practice, are not applied for large-scale important examination.In addition, setting scale is difficult in setting pre-generated model answer To hold, model answer can not be also adjusted in going over examination papers later.
There are also the prior arts to think, for the c program project curriculum that nearly all colleges and universities all open up, both can not only examine choosing Topic and True-False are selected, also the program that student writes should not be directly judged to zero because result and Key for Reference are not quite identical. Being realized in view of same problem with program may be there are many algorithm or ways of writing, so that realizing that automatic marking is non-with computer completely It is often difficult, it is therefore desirable to automatic marking be combined with group signature, take into account reasonability while efficiency is goed over examination papers in raising.Therefore When sentencing subjective item, if the answer of input is identical as Key for Reference, scoring is returned to;If answer and the Key for Reference of input not phase Together, the answer of input is tested, test here is that read routine topic can be set according to the answer type that examinee submits It is read and appraised automatically after determining score value;Uniquely sentence compares, code substitutes into may not be passed through topic type for program filling blank, the answers such as correct mistakes The modes such as program operation are read and appraised automatically, and a kind of answer is only once read and appraised, other same answer is automatically performed It reads and appraises;For programming topic then by for different inputs, operation result and expected answer whether unanimously (reading and appraising automatically), can compile Translate operation (manual intervention is read and appraised), different score values is given in source code logic analysis (manual intervention is read and appraised).This prior art A degree of intelligent Evaluation introduced to subjective item, but this prior art can be used only in the subjective item of computer field and sentence Disconnected, the subjective item of other field can not be verified by way of substituting into and calculating, and in addition also not safeguard about terminal user The content in score data library.
There are also the appraising methods of a kind of pair of subjective item in the prior art, for the image in non-drawing class topic type region, also It is the image in subjective item region, carries out image steganalysis, extract answer keyword, by keyword and key data progress Match, non-drawing class topic type is carried out according to matching result and is tentatively given point;Different section's purpose teachers access database according to course code Corresponding folder read and appraised, carry out non-drawing class topic type and supplement to dividing;Non- drawing class topic type is tentatively given point and non-drawing Class topic type is supplemented to point merging, and obtains non-drawing class topic type score.This prior art proposes machine scoring and manually comments Divide the scoring closed eventually, wherein the scoring of artificial supplement scoring very subjective item is more objective.But this article is also without open whole The content in end subscriber maintenance score data library.The teacher of each subject does not have in supplement to timesharing and existing subjective item marking mode What difference, only machine scores and that manually scores simply pieces together, and does not have any reference between each teacher that scores.
There are also a kind of prior arts, and it uses annotation methods, comprising: scanning paper document, to obtain the first image;Root According to the first image, the content of text of multiple topics and multiple second images of multiple answers are obtained;According to multiple second figures As obtaining multiple terms;According to multiple retrieval word and search annotation datas library;For the term not retrieved, increase newly in annotation Hold, and newly-increased annotation content is stored into annotation data library;For the term retrieved, annotation content is modified, and will be repaired The annotation content changed is stored into annotation data library;For whole terms, annotation list is established, the annotation list includes inspection Rope word and corresponding annotation content;According to annotation list, the content of text including multiple topics and corresponding annotation content is generated simultaneously It is automatic to send Email.This method is by record and summarizes endorsement information, establishes annotation data library, passes through retrieval word and search batch Note, improves annotation service efficiency.This method effectively raises the working efficiency of teacher.But its also be machine scoring and That manually scores simply pieces together, and does not have any reference between each teacher that scores.Explicitly think in especially this technology In the annotation method, annotation content text is not limited by length.It is advantageous that: annotation content word content has very big spirit Activity.For identical problem, different teachers can independently provide the annotation content of oneself.Teacher can pass through batch of operation It reads, shows its teaching characteristic, and oneself passs on understanding, the cognition of education and instruction work to student.This is specific Provide the enlightenment for the annotation independently made between teacher, it is believed that personalized annotation is conducive to impart knowledge to students.This is equivalent to be negated and criticize The consistent necessity of standard is read, therefrom those skilled in the art are difficult to obtain the enlightenment of online check paper.
How group signature can be efficiently completed using computer and standard is consistent guarantees that the quality goed over examination papers is this The technical issues of solving, is wished in field for a long time, in view of this, proposing the present invention.
Summary of the invention
The purpose of the present invention is to provide one kind to sentence volume method and system, to solve the above problems.
In order to realize the goal of the invention, the present invention adopts the following technical scheme:
One kind sentencing volume method, which comprises the following steps:
S1: start;
S2: subjective item answer is obtained, and obtains electronics answer;
S3: cloud scoring dictionary information is called;
S4: by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase highlight;
S5: judge whether to take word or phrase from Current electronic answer and be added to cloud scoring dictionary, if so, executing S6;If not, executing S7;
S6: obtaining selected word or phrase, and is added into cloud scoring dictionary, and return to S3;
S7: the score value for people's typing of going over examination papers is obtained;
S8: terminate.
Preferably, S4 specifically:
S401: by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase be highlighted by different classes of;
S402: judge whether highlighted word or phrase are selected;If so, executing S403;If not, executing S5;
S403: from cloud, scoring dictionary calls the relevant information of the word or phrase and shows on the screen.
Preferably, in step s 6, the mode for choosing word or phrase in answer is, on the display screen of scoring terminal The secondary position clicked where some word or phrase of double-click or more automatically generates preceding selected accord in the position and selectes symbol with rear, Character or word between forward and backward selected symbol will be selected, and the selection of word or phrase particular content can be by forward and backward selected symbol Position adjust to determine, while in the presumptive area of screen or close to the region popup menu of selected symbol, menu is included at least The command option uploaded to cloud.
Preferably, if it is the operation of touch screen type, it is forward and backward that generation is triggered using predefined gesture or individual option Selected symbol.
The application also proposes that one kind sentences volume method, comprising the following steps:
S1 ': start;
S2 ': subjective item answer is obtained, and obtains electronics answer;
S3 ': choosing the segment word region in electronics answer, and calls cloud scoring dictionary information;
S4 ': by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase highlight, and by the segment word area The highlighted word or phrase in domain show the relevant information of the entry as entry;
S5 ': judge whether for the entry to be added to cloud scoring dictionary, if so, executing S6 ';If not, executing S7 ';
S6 ': obtaining selected entry, and is added into cloud scoring dictionary, and return to S3 ';
S7 ': the score value for people's typing of going over examination papers is obtained;
S8 ': terminate.
Preferably, step S4 ' specifically:
S4 ': by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase be highlighted by different classes of;It will be There are multiple highlighted words or phrase as entry for the answer character area of delimitation;
Preferably, in step S6 ', the mode of word or phrase in answer is chosen to be, in the display screen of scoring terminal Some word of click of upper double-click or more time or the position where phrase automatically generate preceding select in the position and accord with and select afterwards It accords with, the character or word between forward and backward selected symbol will be selected, and the selection of word or phrase particular content can be by forward and backward choosing Surely the position accorded with adjusts to determine, while in the presumptive area of screen or close to the region popup menu of selected symbol, menu is at least Including the command option uploaded to cloud.
Preferably, in S4 ', scoring terminal limits the quantity and keyword categories quantity of the keyword for including in entry System is more than predetermined value, the middle segment word of S3 ' when the people that gos over examination papers draws the excessive or categorical measure that keyword occurs in the character area taken Region will be considered as an invalid character area.
Preferably, in step S4 ', if keyword number that the answer character area chosen includes and classification there is no Variation is only the number of words total amount variation of answer character area, and at this moment sentencing end of volume (EOV) end will be considered that entry does not change.
The application also proposes that one kind sentences volume system, sentences cirrus end with one and connection beyond the clouds multiple sentence end of volume (EOV) End, sentencing cirrus end includes cloud scoring dictionary, and the people that gos over examination papers gos over examination papers to subjective item using end of volume (EOV) end is sentenced, it is characterised in that: sentences Volume method is sentenced using above-mentioned in end of volume (EOV) end.
The utility model has the advantages that
1. the volume method of sentencing of the application is to sentence sentencing between volume between group signature in the prior art and complete computer Volume method has the participation for the people that gos over examination papers to make to sentence volume more objective, and in sentencing volume method, it assists sentencing volume using computer, specifically To sentence end of volume (EOV) end and the label standard of sentencing prestored in obtained electronics answer and cloud scoring dictionary comparing, if certain word or word Group is pre-stored in cloud scoring dictionary, then this word or phrase will be highlighted out.The people that gos over examination papers easily exists This this score keyword is found in electronics answer, greatly improves the efficiency of work.
2. keyword is highlighted, there are one important technical effects, if encountering certain words is also to be in the main true, but do not have It is recorded in model answer, or is difficult to that model answer is used to provide score as foundation.The invention proposes people's dimensions of going over examination papers The technical concept of model answer is protected, the people that gos over examination papers is easy to find that this word is not highlighted on the screen, then can be by this selected ci poem In and be added in cloud scoring dictionary, to make the content of model answer, more comprehensively this point is explicitly by the skill of the application Art scheme is distinguished with the prior art.
3. often not only needing to evaluate single word or phrase, when more in the deterministic process of subjective item It is that multiple keywords are considered into the validity and correctness of its answer as a whole.Therefore, the proposition of entry just solves This problem.The use of entry greatly improves the consistency of standards of grading.Firstly, the people that gos over examination papers delimit one effectively first Character area, that is to say, that appear in an effective character area in the keyword set of multiple and different classifications, this is avoided Examinee wishes the case where enumerating keyword expectation score of dispersion;Secondly, can be timely for controversial, difficult answer Proposition, and quickly analyzed and solved, and these controversial, difficult answers generally can not at the beginning of surely vertical answer It predicts.
4. present invention further propose that scoring terminal can quantity to the keyword for including in entry and classification limit System, when the people that gos over examination papers draw that the character area that takes is excessive or keyword occurs it is excessive will be considered as an invalid character area, This is because if character area it is excessive or comprising keyword it is excessive, can not be enumerated with examinee keyword behavior distinguish It opens, and for the expression-form of a routine, a sentence with independent semantic function will not include excessive pass Keyword.So sentencing whether the number of words that end of volume (EOV) end further judges that the answer character area chosen includes is greater than pre-set One threshold value, whether the keyword number for including is greater than pre-set second threshold, if be no more than, just can be carried out the wound of entry It builds or reads.During the mobile cursor of the people that gos over examination papers, if keyword number that answer character area includes and classification there is no Variation is only the number of words total amount variation of answer character area, and at this moment sentencing end of volume (EOV) end will be considered that entry does not change.It in this way can be big The big total amount for reducing entry, prevents entry creation excessive, the judgement for the people that influences to go over examination papers instead.When the mobile cursor process of the people that gos over examination papers In, the variation that the quantity or type of keyword occur, the entry for sentencing end of volume (EOV) end institute recognition can also change, so that user is moving When during dynamic cursor, it can quickly see the explanation of different entries, quickly understand the standards of grading for different entries, it is real It is also the standards of grading quickly understood after different keyword combinations in matter.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, institute in being described below to the embodiment of the present invention Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention Example, for those of ordinary skill in the art, without creative efforts, can also implement according to the present invention The content of example and these attached drawings obtain other attached drawings.
Fig. 1 is that the first of the invention sentences the flow chart of volume method;
Fig. 2 is the flow chart that electronics answer of the invention is highlighted method;With
Fig. 3 is of the invention second flow chart for sentencing volume method.
Specific embodiment
Below in conjunction with attached drawing, detailed description of the preferred embodiments.It should be appreciated that described herein Embodiment be only used for explain the present invention, be not intended to limit the invention.Those of ordinary skill in relation to field is not The various change and deformation done in the case where the spirit of that invention, all independent claims and subordinate appended by the present invention In the scope of the claims.
The multiple terminals of cirrus end and connection beyond the clouds are sentenced with one according to an embodiment of the invention, sentencing volume system, are read Volume people gos over examination papers to subjective item using terminal.
Embodiment 1:
As shown in Figure 1, one kind sentences volume method, comprising the following steps:
S1: start;
S2: subjective item answer is obtained, and obtains electronics answer.When user's answer to certain examination paper is scored, obtain The corresponding user's answer of the examination paper.For example, the user for directly reading the examination paper answers when user's answer of examination paper is electronic form Case.It, can be using character recognition technology in user's answer in paper when user's answer of the examination paper is paper form Text is identified, user's answer of electronic form is obtained.The method for obtaining subjective item answer is not limited to above two side Method, it is only necessary to electronics answer can be obtained.
S3: cloud scoring dictionary information is called.Cloud scoring dictionary is located at the cloud for sentencing volume system, and score dictionary beyond the clouds In preset the standards of grading of subjective item, it is identical as traditional group signature, the standards of grading of subjective item are primarily to see and are answered Whether crucial word or phrase, that is, commonly referred point scoring, covering according to subjective item to point scoring are occurred in case Situation and other considerations provide score.Beyond the clouds scoring dictionary also preset subjective item answer keyword, and with pass Keyword together, has also included the correlated expression that the explanation to keyword, synonym of keyword etc. are likely to occur.
S4: by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase highlight.Sentence the electricity that end of volume (EOV) end will obtain The standards of grading prestored in sub- answer and cloud scoring dictionary compare, if certain word or phrase belong in cloud scoring dictionary in advance The keyword deposited or its correlated expression, then this word or phrase will be highlighted out.People go over examination papers easily in electricity These score keywords are found in sub- answer, greatly improve the efficiency of work.
S5: judge whether to need to obtain related term from Current electronic answer or phrase is added to cloud scoring dictionary, such as Fruit is to execute S6;If not, executing S7.In subjective item during going over examination papers, being frequently encountered certain answers is also to be in the main true , but be not recorded in model answer, or be difficult to that model answer is used to provide score as foundation.In general, it gos over examination papers People will directly give score according to the experience of oneself, then this scoring just has very strong subjective judgement, and may it His people that gos over examination papers can also encounter same problem, everybody scale is difficult to unification.The invention proposes people's maintenance criterion answers of going over examination papers Technical concept, if in the electronics answer that the people that gos over examination papers shows in step s 4, it was found that wherein some word can also be used as Subitem, but be not recorded in cloud scoring dictionary, most intuitive performance is exactly that this word is not highlighted on the screen, This word or phrase can then be chosen and be added in cloud scoring dictionary, to make the content of model answer more comprehensively.
S6: obtaining selected word or phrase, and is added into cloud scoring dictionary, and return to S3.When cloud scoring word After library increases some word or phrase, terminal can again be compared electronics answer and cloud scoring dictionary, by comparing, This word will be also highlighted.Importantly, if if this word also will when also there is this word in other electronics answers It is highlighted in other terminals.
S7: the score value for people's typing of going over examination papers is obtained.Go over examination papers people according to occur in electronics answer keyword comprehensively in degree and its His evaluation factor provides final score and is entered into terminal.
S8: terminate.
As a preference, step S4 specifically:
S401: by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase by different classes of highlighted;This will more The people that is conducive to go over examination papers gets information about the scoring event in electronics answer.For example different classes of pass is distinguished by different colors Keyword.
S402: judge whether highlighted word or phrase are selected;If so, executing S403;If not, executing S5;
S403: from cloud, scoring dictionary calls the relevant information of the word or phrase and shows on the screen, then executes S5.
Step S402 and the S403 people that mainly conveniently gos over examination papers are better understood by the relevant information of keyword or relevant comment Minute mark is quasi-.In S402.In step S6 or S402, it can be a variety of for choosing the mode of answer, for example, in the aobvious of scoring terminal The position clicked where some word or phrase of double-click or more time on display screen curtain, selected Fu Hehou before automatically generating in the position Selected symbol, character or word between forward and backward selected symbol will be selected, the selection of word or phrase particular content can by it is preceding, The position for selecting symbol afterwards adjusts to determine, while in the presumptive area of screen or close to the region popup menu of selected symbol, menu Including at least the command option uploaded to cloud.After menu item is triggered, also includes at least and word or phrase addition are explained Inside perhaps mark, for illustrate why by the word be added cloud scoring dictionary.Choose the method for word or phrase can also be only It is the position where the word or phrase of cursor dwell on the screen.
If it is the operation of touch screen type, predefined gesture or individual option can be used to trigger and generate forward and backward choosing Fixed symbol.The a certain region of screen, long-pressing screen are e.g. repeatedly clicked, these modes of operation are the conventional means of this field, no longer It enumerates.
Embodiment 2:
In the present embodiment, the difference from embodiment 1 is that:
One kind sentencing volume method, comprising the following steps:
S1 ': start;
S2 ': subjective item answer is obtained, and obtains electronics answer;
S3 ': choosing the segment word region in electronics answer, and calls cloud scoring dictionary information;
S4 ': by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase highlight, and by the segment word area The highlighted word or phrase in domain show the relevant information of the entry as entry;
S5 ': judge whether for the entry to be added to cloud scoring dictionary, if so, executing S6 ';If not, executing S7 ';
S6 ': obtaining selected entry, and is added into cloud scoring dictionary, and return to S3 ';
S7 ': the score value for people's typing of going over examination papers is obtained;
S8 ': terminate.
Here the concept for proposing entry, in the deterministic process of subjective item, often not only need to single word or phrase into Row evaluation is that multiple keywords are considered the validity and correctness of its answer as a whole when more.Often Multiple keywords are that correct or relevant but final answer is inaccuracy or incoherent.Usually there is a kind of situation It is that answer people can propose the answer beyond essential limit length, it is expected to go over examination papers, people can find point scoring in these answers, And provide higher score.On the one hand, this by the people that gos over examination papers is given to the extraction work of answer is inappropriate, another side, can The many keywords of energy are dispersed in answer, the specific meanings not combined, only because length is too long and is wrapped It is contained in answer.It is proposed the concept of entry there are one the reason is that, model answer it is impossible to exhaust go out all different types of pass The standards of grading that keyword is combined, some combination be correctly, be listed in model answer, some be then it is incorrect, But also some is not accurate enough answer, these scores should cut down according to the circumstance on the basis of model answer.Therefore, the appearance of entry is just Solves this problem.
In step S4 ', sentences end of volume (EOV) end and detect answer character area in the person that gos over examination papers first, and according to the height of keyword Bright situation judges to occur in this region how many, the different keywords of how many kinds of.Going over examination papers people at this moment can be according to answer Actual conditions divide the region chosen, such as complete expression paragraph, for example one for particular problem in topic Answer, there is the answer region for comparing complete table justice form will be come by subjective the marking off of the people that be goed over examination papers for these.Then answer text The key word information in block domain will be extracted, for example including the first keyword and the second keyword, the two keywords will It is identified as the first entry.From cloud, scoring dictionary calls the corresponding information of the entry and shows on the screen, then holds Row S5 '.I.e. if scoring dictionary has included first entry beyond the clouds, specifically evaluating about the first entry will be shown. For example scoring people will combine this particular keywords and provide specific evaluation, the including but not limited to correctness of entry, accurate Property, correlation, a series of information of scoring etc. of suggestion, these information and first entry form mapping relations.
In traditional mode of going over examination papers, it is considered that as long as write on keyword in answer will be to point, but as preceding by examinee Described in surface analysis, what keyword did not had a logic in answer enumerates the arrangement for being not meant to can there is logic with score, keyword The correctness of answer could be embodied.Compared with prior art, the use of entry greatly improves the consistency of standards of grading.It is first First, the people that gos over examination papers delimit an effective character area first, that is to say, that appearing in the keyword set of multiple and different classifications One effective character area, this avoids examinees to wish the case where enumerating keyword expectation score of dispersion;Secondly, for having Dispute, difficult answer can be proposed timely, and quickly analyzed and solved, and these are controversial, difficult Answer is generally unpredictable at the beginning of surely vertical answer to arrive.
But if cloud scoring dictionary does not include first entry, then can't show relevant information on screen. At this moment, it is necessary to execute S5 ', S5 ': judging whether for current entry to be added to cloud scoring dictionary.The first entry has been at this time Through being indexed, but if human hair of not goed over examination papers send the dictionary that will not be scored by cloud if cloud record, go over examination papers people by oneself Subjective judgement determines whether first entry should be added into model answer, whether should become this time and go over examination papers pervasive mark Quasi- answer.
Preferably, scoring terminal can quantity to the keyword for including in entry and classification limit, as the people that gos over examination papers Draw that the character area that takes is excessive or keyword occurs it is excessive will be considered as an invalid character area, this is because such as Fruit character area it is excessive or comprising keyword it is excessive, the behavior that keyword can not be enumerated with examinee distinguishes, and for For the expression-form of one routine, a sentence with independent semantic function will not include excessive keyword.So sentencing Whether the number of words that end of volume (EOV) end further judges that the answer character area chosen includes is greater than pre-set first threshold, includes Whether keyword number is greater than pre-set second threshold, if be no more than, just can be carried out the creation or reading of entry.
During the people that gos over examination papers mobile cursor, if there is no becoming for keyword number and classification that answer character area includes Change, is only the number of words total amount variation of answer character area, at this moment sentencing end of volume (EOV) end will be considered that entry does not change.It in this way can be significantly The total amount for reducing entry, prevents entry creation excessive, the judgement for the people that influences to go over examination papers instead.During the people that gos over examination papers mobile cursor, The variation that the quantity or type of keyword occur, sentencing the entry that end of volume (EOV) end is identified can also change, so that user is in movement When during cursor, the explanation of different entries can be quickly seen, quickly understand the standards of grading for different entries, essence Upper is also the standards of grading quickly understood after different keyword combinations.
In a preferred embodiment, the word or phrase or entry that the people that gos over examination papers uploads to cloud scoring dictionary are through excessively high It is just admitted to after the confirmation of grade user in cloud scoring dictionary.
The contents of the present invention are better understood below by an example.
Does example: why small not youth scholar feel Mr. Han Maier " always without so tall and big "?
Model answer: the pale face of small not Lang Shicong Mr. Han Maier feels his intense love to one's country and deracine The mood of grief and indignation, pain.The patriotic spirit of Mr. Han Maier makes small not youth scholar think that he is not only a French teacher, and It is an ardent patriot, so feeling his stand tall.
Standards of grading: examinee need to only answer out Mr.'s Han Maier intense love to one's country, to deracine grief and indignation and it is small not Youth scholar, which reveres Mr. Han Maier, to get full marks.
Based on the standards of grading, dictionary preset standard answer first of scoring beyond the clouds: the first class keywords: have deep love for;Second Class keywords: sad, pain;Third class keywords: motherland, country;4th class keywords: tall and big, great, revere;5th class Keyword: small not youth scholar;6th class keywords: Han Maier.
In the electronics answer for sentencing end of volume (EOV) end display examinee.
Answer one: small not youth scholar experiences the deracine grief and indignation of Mr. Han Maier, sad mood.Small not youth scholar feels He is very tall and big.
Answer one has larger difference for model answer, but point scoring is grabbed very well, writes many point scorings and closes Keyword.Firstly, on the screen for sentencing end of volume (EOV) end, " motherland ", " grief and indignation ", " small not youth scholar ", " Han Maier " and " tall and big " these Word will be highlighted, and the people that gos over examination papers can have found rapidly that answer is not written in " the having deep love for " of the first class keywords this point scoring by examinee, Therefore it will take the circumstances into consideration deduction.Meanwhile the people that gos over examination papers has found that " sad " this word can also give expression to the sadness of the second class keywords, pain Meaning, at this moment, go over examination papers people with cursor in this selected ci poem, will be sent to cloud scoring dictionary in.At this point, the second class keywords packet It has included sad, painful and sad.The people that gos over examination papers when second encounters answer for the moment again, " sad " this word on its terminal screen It will be highlighted.Cloud scoring dictionary answer content is thus enriched, unified score standard is convenient for.
Answer two: the pale face of small not Lang Shicong Mr. Han Maier feels that he is very grieved.This embodies small not youth scholar couple Motherland is had deep love for, he thinks staning tall for Mr. Han Maier.
In this answer, although also there is most keyword, can not be direct from the material that topic is given " small not youth scholar's intense love to one's country " this information out, should be Han Maier to the subject that motherland is had deep love for, therefore, although in answer There are " small not youth scholar ", " motherland " and " having deep love for " these keywords, but answer is still incorrect.It can be seen that only with key Word is objective not enough to judge, such case will use the judgement of entry.
Firstly, only when several keywords will just be used as one simultaneously in a certain region chosen of answer while when occurring A entry sentences end of volume (EOV) end using " the small not youth scholar " of selected areas, " motherland ", " having deep love for " three keywords as an entry, such as When fruit while this entry were also once admitted to cloud scoring dictionary, entry auxiliary information can just be shown by sentencing end of volume (EOV) end, in answer In two, since this entry of " small not youth scholar " and " motherland " and " having deep love for " collocation is the answer of mistake, it is not documented in cloud End scoring dictionary, is sentencing end of volume (EOV) end, this answer will not show any information relevant to the entry.Therefore, the use of entry Facilitate the objective judgement to paper.But " Han Maier ", " motherland ", " having deep love for " three keywords are correct as an entry Answer sentences the end of volume (EOV) end dictionary that will score from cloud and transfer the entry if there is this entry in the region of the fixed text of the person that gos over examination papers Associated ancillary information, if this entry is not created, the people that gos over examination papers can actively create this entry and be sent to cloud Score dictionary, so that the scoring suggestion or other standards of grading to this entry be added.
When scoring answer two, during the mobile cursor of the people that gos over examination papers, if " the small not youth that answer character area includes Scholar ", " motherland ", " having deep love for " three crucial word numbers and classification are only that the number of words for the character area chosen is total there is no variation Amount variation, at this moment sentencing end of volume (EOV) end will be considered that entry does not change.
Such as " this embodies small not youth scholar's intense love to one's country, he thinks the shape of Mr. Han Maier " with " this embodies small Not youth scholar's intense love to one's country, he thinks Mr.'s Han Maier " both take the keyword for including in the mode of word all not become Change, so the entry of answer character area does not just change, this is a great improvement to volume system is sentenced.By the judgement of entry It is designed as unrelated with the text total amount of selected areas, the total amount of entry can be greatly reduced in this way, prevent entry creation excessive, instead Influence the judgement of people of going over examination papers.As previously mentioned, scoring terminal should quantity to the keyword for including in entry and classification carry out Limitation will be considered as one invalid when the people that gos over examination papers draws excessive or keyword the classification that the literal field keyword taken occurs too much Character area, this is because it can not be enumerated to the row of keyword with examinee if the character area keyword that includes is excessive To distinguish, for example, go over examination papers people by answer two " small not youth scholar ", " Han Maier ", " motherland ", " having deep love for " four keywords all It chooses, if this entry is created the progress that may be unfavorable for scoring, because a possibility that four contaminations is too many, together When contain it is a large amount of correctly and the combination of mistake.
Analysis for above-mentioned case is it is found that the application's sentences volume method and can be highlighted first by keyword to mention Height gos over examination papers task efficiency, further, can according to crucial phrase at entry the case where the phase of corresponding entry is provided Close information, whether keyword or entry, go over examination papers people can during marking examination papers to the data in cloud modify with it is rich Richness, thus keep entire scoring process more and more unified, it is more and more scientific.
It is provided below as optional embodiment and realizes hardware of the invention, can be calculating as end of volume (EOV) end is sentenced Machine equipment, for example showed in the form of universal computing device.The component of computer equipment includes but is not limited to one or more Processor, system storage connect the bus of different system components (including system storage and processor).
Above-mentioned bus typicallys represent one of a few class bus structures or a variety of, including memory bus in the art Or Memory Controller, peripheral bus, graphics acceleration port, processor or use any bus in a variety of bus structures The local bus of structure.These architectures include but is not limited to industry standard architecture (ISA) bus, microchannel system knot Structure (MAC) bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) Bus.
Computer equipment can also be communicated with one or more external equipments (such as keyboard, sensing equipment, display etc.), Can also be enabled a user to one or more equipment interacted with the computer equipment communication, and/or with make the computer Any equipment (such as network interface card, modem etc.) that equipment can be communicated with one or more of the other calculating equipment is logical Letter.This communication can be carried out by input/output (I/O) interface.Also, computer equipment can also pass through network adapter With one or more network (such as local area network (LAN), wide area network (WAN) and/or public network, such as internet) communication. Network adapter is communicated by bus with other modules of computer equipment.
Computer equipment typically comprises a variety of computer system readable media.These media can be and any can be counted Calculate the usable medium of machine equipment access, including volatile and non-volatile media, moveable and immovable medium.
System storage may include the computer system readable media of form of volatile memory, such as arbitrary access is deposited Reservoir (RAM) and/or cache memory.Computer equipment may further include other removable/nonremovable, easy The property lost/nonvolatile computer system storage medium.System storage may include at least one program product, the program product With one group of (for example, at least one) program module, these program modules are configured to perform the above-mentioned function of sentencing volume of the present invention. Also with the program/utility of one group of (at least one) program module, can store in such as system storage, it is such Program module includes operating system, one or more application program, other program modules and program data, in these examples Each or certain combination in include network environment realization.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++, Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.? Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service It is connected for quotient by internet).
For sentencing cirrus end, main function is data storage function, and the prior art, which has had, much can be used, Which is not described herein again.
Better embodiment of the invention is described above, it is intended to so that spirit of the invention is more clear and convenient for managing Solution, is not meant to limit the present invention, all within the spirits and principles of the present invention, update, replacement, the improvement done should all Within the protection scope of appended claims of the invention overview.

Claims (12)

1. one kind sentences volume method, which comprises the following steps:
S1: start;
S2: subjective item answer is obtained, and obtains electronics answer;
S3: cloud scoring dictionary information is called;
S4: by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase highlight;
S5: judge whether to take word or phrase from Current electronic answer and be added to cloud scoring dictionary, if so, executing S6;Such as Fruit is no, executes S7;
S6: obtaining selected word or phrase, and is added into cloud scoring dictionary, and return to S3;
S7: the score value for people's typing of going over examination papers is obtained;
S8: terminate.
2. according to claim 1 sentence volume method, which is characterized in that
Preferably, step S4 further comprises:
S401: by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase be highlighted by different classes of;
S402: judge whether highlighted word or phrase are selected;If so, executing S403;If not, executing S5;
S403: from cloud, scoring dictionary calls the relevant information of the word or phrase and shows on the screen.
3. according to claim 1 sentence volume method, which is characterized in that
In step S6, choosing the mode of word or phrase in answer is double-click or more time on the display screen of scoring terminal Click some word or the position where phrase, selected symbol and rear selected symbol before automatically generating in the position, forward and backward selected symbol Between character or word will be selected, the selection of word or phrase particular content can be adjusted by the position to forward and backward selected symbol come It determines, while in the presumptive area of screen or close to the region popup menu of selected symbol, menu is included at least to be uploaded to cloud Command option.
4. according to claim 3 sentence volume method, which is characterized in that
If it is the operation of touch screen type, is triggered using predefined gesture or individual option and generate forward and backward selected symbol.
5. one kind sentences volume method, which comprises the following steps:
S1 ': start;
S2 ': subjective item answer is obtained, and obtains electronics answer;
S3 ': choosing the segment word region in electronics answer, and calls cloud scoring dictionary information;
S4 ': by the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase highlight, and by the segment word region Highlighted word or phrase show the relevant information of the entry as entry;
S5 ': judge whether for the entry to be added to cloud scoring dictionary, if so, executing S6 ';If not, executing S7 ';
S6 ': obtaining selected entry, and is added into cloud scoring dictionary, and return to S3 ';
S7 ': the score value for people's typing of going over examination papers is obtained;
S8 ': terminate.
6. according to claim 5 sentence volume method, which is characterized in that
Step S4 ' specifically:
By in the dictionary that occurs scoring beyond the clouds in electronics answer word or phrase be highlighted by different classes of;
Using multiple highlighted words or phrase existing for the answer character area in delimitation as entry.
7. according to claim 5 sentence volume method, which is characterized in that
In step S6 ', choosing the mode of word or phrase in answer is double-click or more on the display screen of scoring terminal The secondary position clicked where some word or phrase, selected symbol and rear selected symbol, forward and backward selected symbol before automatically generating in the position Between character or word will be selected, the selection of word or phrase particular content can be adjusted by the position to forward and backward selected symbol To determine, while being uploaded in the presumptive area of screen or the region popup menu of close selected symbol, menu including at least to cloud Command option.
8. according to claim 5 sentence volume method, which is characterized in that
In step S4 ', scoring terminal limits the quantity and keyword categories quantity of the keyword for including in entry,
It is more than predetermined value, the middle part step S3 ' when the people that gos over examination papers draws the excessive or categorical measure that keyword occurs in the character area taken Dividing character area will be considered as an invalid character area.
9. according to claim 5 sentence volume method, which is characterized in that
In step S4 ', if keyword number and classification that the answer character area chosen includes only are answered there is no variation The number of words total amount of case character area changes, and at this moment sentences end of volume (EOV) end and judges that entry does not change.
10. one kind sentences volume system, cirrus end and connection beyond the clouds multiple are sentenced with one and sentence end of volume (EOV) end, sentencing cirrus end includes Score dictionary in cloud, and the people that gos over examination papers gos over examination papers to subjective item using end of volume (EOV) end is sentenced, it is characterised in that:
Sentence the execution of end of volume (EOV) end and sentences volume method as claim 1-9 is described in any item.
11. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor Calculation machine program, which is characterized in that the side such as any one of claim 1-9 may be implemented when executing described program in the processor Method step.
12. a kind of computer storage medium, which stores the programs that can be computer-executed, can be real when executing described program Now such as the method and step of any one of claim 1-9.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110263651A (en) * 2019-05-23 2019-09-20 五邑大学 A kind of auxiliary reads and makes comments the method, apparatus and storage medium of examination question online
CN110609953A (en) * 2019-08-28 2019-12-24 苏州承儒信息科技有限公司 Reading and amending method and system for internet education
CN110705905A (en) * 2019-10-15 2020-01-17 李晚华 High-accuracy intelligent online paper marking method
CN110750694A (en) * 2019-09-29 2020-02-04 支付宝(杭州)信息技术有限公司 Data annotation implementation method and device, electronic equipment and storage medium
CN114580375A (en) * 2022-05-09 2022-06-03 南京赛宁信息技术有限公司 Distributed online match subjective question marking and scoring method and system

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112270295A (en) * 2020-11-13 2021-01-26 广东小天才科技有限公司 Question framing method and device under student homework scene, terminal equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101593233A (en) * 2008-05-26 2009-12-02 北京智慧东方信息技术有限公司 A kind of appraisal system of Word operation questions
CN103942994A (en) * 2014-04-22 2014-07-23 济南大学 Computer assessment method for subjective questions
US20150348433A1 (en) * 2014-05-29 2015-12-03 Carnegie Mellon University Systems, Methods, and Software for Enabling Automated, Interactive Assessment

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104463101B (en) * 2014-11-06 2017-08-25 科大讯飞股份有限公司 Answer recognition methods and system for character property examination question
CN104504023B (en) * 2014-12-12 2017-08-04 广西师范大学 A kind of high-accuracy subjective item computer automatic marking method based on domain body
CN106844296A (en) * 2016-12-01 2017-06-13 网易(杭州)网络有限公司 A kind of communication means and device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101593233A (en) * 2008-05-26 2009-12-02 北京智慧东方信息技术有限公司 A kind of appraisal system of Word operation questions
CN103942994A (en) * 2014-04-22 2014-07-23 济南大学 Computer assessment method for subjective questions
US20150348433A1 (en) * 2014-05-29 2015-12-03 Carnegie Mellon University Systems, Methods, and Software for Enabling Automated, Interactive Assessment

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110263651A (en) * 2019-05-23 2019-09-20 五邑大学 A kind of auxiliary reads and makes comments the method, apparatus and storage medium of examination question online
CN110609953A (en) * 2019-08-28 2019-12-24 苏州承儒信息科技有限公司 Reading and amending method and system for internet education
CN110750694A (en) * 2019-09-29 2020-02-04 支付宝(杭州)信息技术有限公司 Data annotation implementation method and device, electronic equipment and storage medium
CN110705905A (en) * 2019-10-15 2020-01-17 李晚华 High-accuracy intelligent online paper marking method
CN110705905B (en) * 2019-10-15 2022-02-08 李晚华 High-accuracy intelligent online paper marking method
CN114580375A (en) * 2022-05-09 2022-06-03 南京赛宁信息技术有限公司 Distributed online match subjective question marking and scoring method and system
CN114580375B (en) * 2022-05-09 2022-08-12 南京赛宁信息技术有限公司 Distributed online match subjective question marking and scoring method and system

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