CN111950240A - Data correction method, device and system - Google Patents
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Abstract
A data correction method, a device and a system relate to the field of learning education, and the data correction method comprises the following steps: when data correction is carried out, firstly, identifying the data to be corrected to obtain the question type and the standard answer of the data to be corrected; then, determining response data in the data to be corrected according to the question type, and carrying out expansion processing on the response data to obtain an expanded answer; and generating an auxiliary correction result according to the standard answer and the extended answer, and finally correcting the auxiliary correction result according to the obtained correction information aiming at the auxiliary correction result to obtain the correction result of the data to be corrected, thereby realizing the technical effect of quickly and accurately correcting the data to be corrected.
Description
Technical Field
The application relates to the field of learning education, in particular to a data correction method, device and system.
Background
At present, the existing data correction method is usually a manual correction method, and when data correction is performed by the manual correction method, each piece of data needs to be checked and corrected manually, so that a large amount of time is wasted, the correction efficiency is low, and the manual correction easily causes situations such as mistaken correction. Therefore, the existing data correction method is manual correction, the correction result is rigid, and the correction efficiency and the accuracy are low.
Disclosure of Invention
An object of the embodiments of the present application is to provide a data modification method, device, and system, which can identify expanded answers and rapidly modify data to be modified, and the modification result has high flexibility and high accuracy, thereby facilitating improvement of modification efficiency.
A first aspect of an embodiment of the present application provides a data modification method, including:
identifying and processing data to be corrected to obtain the question type and the standard answer of the data to be corrected;
determining response data in the data to be corrected according to the question type, and carrying out expansion processing on the response data to obtain an expanded answer;
generating an auxiliary correcting result according to the standard answer and the extended answer;
and revising the auxiliary correction result according to the obtained revision information aiming at the auxiliary correction result to obtain the correction result of the data to be corrected.
In the implementation process, when data correction is carried out, firstly, identifying the data to be corrected to obtain the question type and the standard answer of the data to be corrected; then, determining response data in the data to be corrected according to the question type, and carrying out expansion processing on the response data to obtain an expanded answer; and generating an auxiliary correction result according to the standard answer and the extended answer, and finally correcting the auxiliary correction result according to the obtained correction information aiming at the auxiliary correction result to obtain the correction result of the data to be corrected, thereby realizing the technical effect of quickly and accurately correcting the data to be corrected.
Further, the identifying the data to be corrected to obtain the title type and the standard answer of the data to be corrected includes:
identifying the data to be corrected to obtain identification data;
matching title information corresponding to the identification data from a preset title database;
and acquiring the subject type and the standard answer of the data to be corrected according to the subject information.
In the implementation process, firstly, the correction data is identified to obtain identification data, and then the corresponding question type and the standard answer are matched according to the preset question database, so that the technical effect of quickly and accurately positioning the question type and the standard answer is achieved.
Further, the identifying the data to be corrected to obtain the identification data includes:
determining the data type of the data to be corrected;
and identifying the data to be corrected according to the data type to obtain identification data.
In the implementation process, when the data is actually used, the data to be corrected is data such as pictures, characters, voice, video and the like. Therefore, when identifying the data to be corrected, the data type of the data to be corrected is determined first, and then the data to be corrected is identified according to the data type (for example, picture identification processing is performed just for the picture type, character identification processing is performed just for the character type, and the like), so that the identification data is obtained, and the data type compatibility and the applicability are strong.
Further, the obtaining the title type and the standard answer of the data to be corrected according to the title information includes:
extracting a title identifier in the data to be corrected from the identification data;
and determining the title type and the standard answer of the data to be corrected according to the title identification.
In the implementation process, after the identification data is obtained, the corresponding question mark can be extracted from the identification data, the data processing is simple, and the question type and the standard answer can be quickly determined according to the question mark.
Further, the determining answer data in the data to be corrected according to the topic type includes:
determining the position relation between an answer part and a question stem part in the data to be corrected according to the question type;
identifying the position of the answer part in the data to be corrected according to the position relation between the answer part and the question stem part;
and extracting response data from the data to be corrected according to the position of the answer part.
In the implementation process, when the answer data is extracted, the position relation between the answer and the question stem is determined according to the question type, so that the position of the answer data can be accurately determined, and the accuracy of answer extraction is improved.
Further, the expanding the response data to obtain an expanded answer includes:
extracting key words in the response data;
matching synonyms corresponding to the keywords according to a preset expanded database;
and carrying out expansion processing on the response data according to the synonym to obtain an expansion answer.
In the implementation process, the answer data is expanded, namely words and phrases with the same meaning in the answer data are replaced, the keywords needing to be expanded are determined firstly, then the synonyms corresponding to the keywords are determined according to a preset expansion database, and finally the answer data is expanded through the synonyms, so that expansion answers are obtained, the compatibility and accuracy of data correction are further improved, the flexibility of correction results is high, and the improvement of correction efficiency is facilitated.
A second aspect of the embodiments of the present application provides a data correction device, where the data correction device includes:
the identification module is used for identifying and processing data to be corrected to obtain the question type and the standard answer of the data to be corrected;
the extraction module is used for determining response data in the data to be corrected according to the question type;
the expanding module is used for expanding the answering data to obtain an expanding answer;
the correcting module is used for generating an auxiliary correcting result according to the standard answer and the extended answer;
and the revision module is used for revising the auxiliary revision result according to the obtained revision information aiming at the auxiliary revision result to obtain the revision result of the data to be revised.
In the implementation process, when data correction is carried out, the identification module firstly identifies the data to be corrected to obtain the question type and the standard answer of the data to be corrected; then the extraction module determines response data in the data to be corrected according to the question type, and the expansion module expands the response data to obtain expanded answers; furthermore, the modification module generates an auxiliary modification result according to the standard answer and the extended answer so as to realize the correct identification and modification effects on the extended answer, and finally, the modification module modifies the auxiliary modification result according to the obtained modification information for the auxiliary modification result so as to obtain the modification result of the data to be modified, thereby realizing the technical effect of rapidly and accurately modifying the data to be modified.
Further, the identification module includes:
the first submodule is used for identifying the data to be corrected to obtain identification data;
the second sub-module is used for matching question information corresponding to the identification data from a preset question database;
and the third sub-module is used for acquiring the title type and the standard answer of the data to be corrected according to the title information.
In the implementation process, when the data to be corrected is identified, the first sub-module needs to identify the data to be corrected first to obtain the identification data, and then the second sub-module matches the corresponding question type and standard answer, thereby achieving the technical effect of quickly and accurately positioning the question type and the standard answer.
A third aspect of the embodiments of the present application provides a data correcting system, which includes a first terminal, a second terminal and a data correcting device, wherein,
the first terminal is used for sending data to be corrected to the data correcting device;
the data correction device is used for identifying and processing the data to be corrected to obtain the question type and the standard answer of the data to be corrected; determining response data in the data to be corrected according to the question type, and performing expansion processing on the response data to obtain an expanded answer; generating an auxiliary correcting result according to the standard answer and the extended answer; and sending the auxiliary correction result to the second terminal;
the second terminal is used for receiving the auxiliary correction result and receiving revision information made by a user aiming at the auxiliary correction result; and sending the revision information to the data modification apparatus;
the data correcting device is also used for receiving the correcting information and correcting the auxiliary correcting result according to the correcting information to obtain a correcting result of the data to be corrected; and sending the correction result to the first terminal;
and the first terminal is used for receiving and outputting the correction result.
In the implementation process, when data correction is performed, the first terminal firstly sends data to be corrected to the data correction device. Then when the data correction device receives the data to be corrected, firstly identifying the data to be corrected to obtain the question type and the standard answer of the data to be corrected; determining response data in the data to be corrected according to the question type, and carrying out expansion processing on the response data to obtain an expanded answer; and generating an auxiliary correction result according to the standard answer and the extended answer, finally correcting the auxiliary correction result according to the obtained correction information aiming at the auxiliary correction result to obtain the correction result of the data to be corrected, and then sending the auxiliary correction result to the second terminal. The second terminal can output and display the auxiliary correction result and receive revision information made by the user aiming at the auxiliary correction result. And finally, the data correction device can receive the correction information sent by the second terminal, correct the auxiliary correction result according to the correction information, generate the correction result of the data to be corrected, and feed back the correction result to the first terminal in time. And then realize treating the technological effect of correcting data, correcting fast, accurately, simultaneously, revise the processing to supplementary correcting result through the revision information, can promote the flexibility and the degree of accuracy of correcting the result, and then be favorable to promoting correcting efficiency.
A fourth aspect of the embodiments of the present application provides an electronic device, including a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the data batching method described in any one of the first aspect of the embodiments of the present application.
A fifth aspect of the embodiments of the present application provides a computer-readable storage medium, which stores computer program instructions, and when the computer program instructions are read and executed by a processor, the computer program instructions perform the data batching method according to any one of the first aspect of the embodiments of the present application.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic flowchart of a data modification method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a data modification method according to a second embodiment of the present application;
fig. 3 is a schematic structural diagram of a data modification apparatus according to a third embodiment of the present application;
fig. 4 is a schematic structural diagram of a data modification apparatus according to a fourth embodiment of the present application;
fig. 5 is a schematic diagram of a system architecture of a data modification system according to a fifth embodiment of the present application;
fig. 6 is an information interaction flowchart of a data modification system according to a sixth embodiment of the present application;
fig. 7 is an information interaction flow chart of a data modification system applied to text data according to a sixth embodiment of the present application.
Icon: 410-student terminal; 420-teacher terminal; 430-data modification device.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of a data modification method according to an embodiment of the present application. The data batching method comprises the following steps:
s101, identifying the data to be corrected to obtain the title type and the standard answer of the data to be corrected.
In this embodiment of the present application, an execution subject of the method may be a computing device such as a computer and a server (a single server or a server cluster), which is not limited in this embodiment.
In this embodiment of the present application, an execution subject of the method may also be an intelligent device such as a smart phone and a tablet, and this embodiment is not limited at all.
In the embodiment of the application, the identification processing of the data to be corrected comprises data type analysis and data content identification of the data to be corrected.
In the embodiment of the application, after the data to be corrected is received, the data type of the data to be corrected can be determined, and then the data to be corrected is identified by adopting a corresponding identification method according to the data type, so that the question type and the standard answer of the data to be corrected are obtained.
In the embodiment of the present application, the data type of the data to be corrected may be a text type, a voice type, a picture type, a video type, or the like, or may be a combination of the above multiple data types, which is not limited in this embodiment of the present application.
In the embodiment of the present application, the jobs of different data types have different subject types, for example, for the data to be corrected of the picture type, the subject types may include, but are not limited to, blank filling, selection questions, question and answer questions, judgment questions, and the like; for the data to be corrected of the audio type, the title type of the data can include, but is not limited to, reading titles, pronunciation titles and the like; for the data to be modified of the video type, the topic type thereof may include, but is not limited to, a mouth shape topic, an action topic, and the like, and the embodiment of the present application is not limited thereto.
After step S101, the following steps are also included:
s102, determining response data in the data to be corrected according to the question type, and performing expansion processing on the response data to obtain an expanded answer.
In the embodiment of the application, after the topic type is determined, the position relation between the answering data and the operation question stem can be determined according to the topic type, and then the corresponding answering data is extracted according to the position relation between the answering data and the operation question stem. For example, for the data to be corrected of the picture type, the question type can be blank filling questions, selection questions, question answering questions, application questions, judgment questions and the like, and for the blank filling questions, the answer data is embedded in the operation question stem; for the choice questions and the judgment questions, the answering data is in a specific answer frame (such as brackets, horizontal lines, square brackets and the like); for question and answer questions and application questions, the answer data area and the task question stem area are independent.
In the embodiment of the application, after the response data is obtained, the response data needs to be subjected to expansion processing. In practical application, the same meaning can be expressed by different words, so that the meaning of answer data of different people is the same, but the adopted answer words or answer sentence patterns are different, so that the answer data is expanded and processed to be compatible with different answer expression forms, the flexibility and the accuracy of a correction result are improved, and the data correction efficiency is improved.
It should be noted that, in order to improve flexibility and accuracy of job modification, the synonymous expansion may not limit the number of words and characters, for example, "male" may be expanded to "male"; can expand 'buy' into 'buy'; "equal to" can be expanded; the plus sign can be expanded to be "+" and the like, which will not be described in detail.
In addition, in some specific scenarios, the synonym expansion may not be limited to the type of characters, for example, the "pair" may be expanded as "v", expanded as "correct", expanded as "yes", expanded as "Y", or expanded as "OK".
Certainly, in order to ensure accuracy, the foregoing method needs to be prestored in advance, and a suitable scene is set, which is not described in detail herein.
In practice, some error-identifying words, for example, some negative words, such as "no", "none", "not", etc., may be set, and when a word representing a correct answer appears in the response data, it is further necessary to determine whether there is an error-identifying word in the context of the word, for example, the standard answer is "ok", the response data is "not", and when the "no" word in the response data is determined, it may be determined that the question is an error.
And S103, generating an auxiliary correcting result according to the standard answer and the extended answer.
In the embodiment of the present application, for example, when the standard answer is 0.5, if the answer data in the answer data is
Then, the response data is synonymously expanded, and the response data in the expanded answers is obtained
Or 0.5% or 50%, when the auxiliary correction result is generated, the correction can be corrected according to the expanded answer, different answer expression forms can be compatible, the flexibility and the accuracy of the correction result can be improved, and the data correction efficiency can be improved.
In this embodiment, when the execution subject of the method is a server for assisting the correction job, after receiving the data to be corrected submitted by the first terminal (e.g., a student terminal, and the like, and specifically may be a student mobile phone, a student computer, or a student PAD, and generating an auxiliary correction result based on the data to be corrected, the auxiliary correction result may be sent to a corresponding second terminal (e.g., a teacher terminal, a teaching terminal, and specifically may be a teacher mobile phone, a teacher computer, or a teacher PAD, and the like), and then the second terminal may output the auxiliary correction result in a manner of tagging and enhanced display after receiving the auxiliary correction result, so that a user (e.g., a teacher, a tutor, a teacher with class, or the like) using the second terminal can directly pay attention to the answer area and the result area, and can confirm or modify the correction result (e.g., supplement the correction result, and correct the correction result by the second terminal, Modify the revision result, etc.), and then generates revision information, which the second terminal will then transmit to the server.
In the embodiment of the application, the step S103 is executed, so that the flexibility and accuracy of the correction result can be improved, and the data correction efficiency can be improved.
After step S103, the following steps are also included:
s104, according to the obtained revision information aiming at the auxiliary correction result, revising the auxiliary correction result to obtain the correction result of the data to be corrected.
In the embodiment of the present application, the auxiliary correction results obtained by implementing the steps S101 to S103 are obtained by correcting the data to be corrected according to the standard answers, at this time, the auxiliary correction results can be output, and the auxiliary correction results are checked manually, if the auxiliary correction results have a correction problem, corresponding correction information can be input to correct the auxiliary correction results, so as to obtain final correction results, and the auxiliary correction results obtained by the automatic correction operation can be checked in time, so as to correct errors in time, and have high flexibility, which is beneficial to improving the accuracy and the correction efficiency of the data correction.
As an optional implementation manner, after the auxiliary correction result is obtained, confirmation information for the auxiliary correction result may also be received, and if the auxiliary correction result meets the manual review standard, the auxiliary correction result is determined as the correction result of the data to be corrected.
Therefore, by implementing the data modification method described in fig. 1, the extended answers can be identified and the data to be modified can be rapidly modified, the modification result has high flexibility and high accuracy, and the modification efficiency can be further improved.
Example 2
Please refer to fig. 2, fig. 2 is a schematic flow chart of a data modification method according to an embodiment of the present application. As shown in fig. 2, the data batching method includes:
s201, identifying the data to be corrected to obtain identification data.
As an optional implementation manner, performing identification processing on the data to be modified to obtain identification data includes:
determining the data type of the data to be corrected;
and identifying the data to be corrected according to the data type to obtain identification data.
In the above embodiment, the identifying process of the data to be modified includes data type analysis and data content identification of the data to be modified.
In the foregoing embodiment, the data type of the data to be modified may be a text type, a voice type, a picture type, a video type, or a mixed type of any several types in the foregoing embodiments, which is not limited in this application.
In the above embodiment, for the data to be corrected of the character type, the character information in the data to be corrected can be directly extracted, the format of the character information is converted into a data format capable of being identified, and then the identification data is obtained, and the data to be corrected is identified to obtain the identification data.
In the above embodiment, for the data to be corrected of the picture type, the data to be corrected may be identified by a picture identification algorithm, and meanwhile, characters in the data to be corrected may also be identified by using an ocr (optical character recognition) character identification technology, so as to obtain the identification data.
In the foregoing embodiment, for the data to be corrected of the voice type, the data to be corrected may be recognized by using a voice recognition technology, so as to obtain recognition data.
In the foregoing embodiment, for the data to be modified of the video type, a video identification technology may be adopted to perform identification processing on the data to be modified, so as to obtain identification data.
After step S201, the following steps are also included:
s202, matching the topic information corresponding to the identification data from a preset topic database.
In the embodiment of the present application, the topic identifier includes a topic number, an answer feature word, a topic sequence, a topic keyword, and the like, which is not limited in the embodiment of the present application.
In the embodiment of the application, the topic information corresponding to the identification data can be determined from the preset topic database according to the topic identifier.
S203, acquiring the title type and the standard answer of the data to be corrected according to the title information.
In the embodiment of the present application, the jobs of different data types have different topic types, and for the data to be corrected of the picture type, the topic types may include, but are not limited to, a blank filling question, a selection question, a question and answer question, a judgment question, and the like, which is not limited to this embodiment of the present application.
In the embodiment of the application, the topic type and the standard answer of the data to be corrected can be matched from the preset topic database according to the topic information.
As an optional implementation manner, obtaining the topic type and the standard answer of the data to be corrected according to the topic information may include the following steps:
extracting a title identifier in the data to be corrected from the identification data;
and determining the title type and the standard answer of the data to be corrected according to the title identification.
In the embodiment of the present application, by implementing the steps S201 to S203, the data to be corrected can be identified, and the topic type and the standard answer of the data to be corrected are obtained.
And S204, determining the position relation between the answer part and the question stem part in the data to be corrected according to the question type.
In the embodiment of the present application, for example, for the data to be corrected of the picture type, the question type may be a blank filling question, a selection question, a question and answer question, an application question, a judgment question, and the like. For the blank filling question, the answer part is embedded in the question stem part; for the choice question and the judgment question, the answer part is in a specific answer frame (such as brackets, horizontal lines, square brackets, underlines, spaces and the like); for question and answer questions and application questions, the answer part and the question stem part are independent, and the answer part is located below the question stem part, but may be located in other positions, such as right side, left side, upper side, etc.
S205, identifying the position of the answer part in the data to be corrected according to the position relation between the answer part and the question stem part.
In the above example, for a blank-filling question, the position of the answer part is in the question stem part; for the choice question and the judgment question, the position of the answer part is in a specific answer frame; for question and answer questions and application questions, the answer part is positioned below the question stem part.
Certainly, when the answer portion is determined, it may also be determined whether there is a mark symbol pointing to another position in the answer portion (or the answer frame), such as an arrow, a downward-pointing or upward-pointing bracket, and when there is a mark symbol, the content of the portion pointed by the arrow or the content included in the pointing bracket may also be used as the answer portion, which is not described in detail herein.
For example, in the blank filling question, the reserved answer box is not enough to hold the answering data of the student, the student can write the remaining characters in other positions, and connect the two parts of answers according to the symbols agreed in advance, which is not described in detail herein.
And S206, extracting response data from the data to be corrected according to the position of the answer part.
In the above example, when answer data is extracted from data to be corrected according to the position of the answer part, for a blank filling question, the question stem part is identified first, then the handwriting area of the question stem part is determined, and then the handwriting area is subjected to character recognition processing, so as to obtain the answer data; for the choice questions and the judgment questions, firstly determining a specific answer frame area, and then performing character recognition processing on the specific answer frame area to further obtain answering data; for question and answer questions and application questions, the position of the question stem part is determined, then the handwriting area is determined below the question stem part, finally the handwriting area is subjected to character recognition processing, and answer data are obtained.
In the embodiment of the present application, by implementing the steps S204 to S205, the response data in the data to be corrected can be determined according to the topic type.
And S207, extracting keywords in the response data.
As an optional implementation manner, the response data may be processed according to a preset common keyword extraction rule to obtain keyword information.
As an optional implementation manner, the words in the response data may be divided to obtain a plurality of words, and all the words may be used as keywords.
After step S207, the following steps are also included:
and S208, matching synonyms corresponding to the keywords according to a preset expansion database.
S209, expanding the response data according to the synonym to obtain an expanded answer.
In the embodiment of the present application, for example, when the keyword is 0.5, the synonym corresponding to the keyword can be matched according to the preset expanded database as
50%, performing synonymous expansion on the response data, and obtaining expansion answers including
Or 0.5 or 50%, when the auxiliary correction result is generated, when the standard answer is 0.5, the correction can be corrected according to the expanded answer, different answer expression forms can be compatible, the flexibility and the accuracy of the correction result can be improved, and the data correction efficiency can be improved.
In the embodiment of the present application, by implementing the above-mentioned step S207 to step S209, the answer data can be expanded to obtain an expanded answer.
And S210, generating an auxiliary correcting result according to the standard answer and the extended answer.
S211, revising the auxiliary correction result according to the obtained revision information aiming at the auxiliary correction result to obtain the correction result of the data to be corrected.
Therefore, by implementing the data modification method described in fig. 2, the extended answers can be identified and the data to be modified can be rapidly modified, the modification result has high flexibility and high accuracy, and the modification efficiency can be further improved.
Example 3
Please refer to fig. 3, fig. 3 is a schematic structural diagram of a data modification apparatus according to an embodiment of the present application. As shown in fig. 3, the data modification apparatus includes:
the identifying module 310 is configured to identify the data to be corrected, so as to obtain a question type and a standard answer of the data to be corrected.
And the extracting module 320 is configured to determine response data in the data to be corrected according to the topic type.
And the expanding module 330 is used for performing expanding processing on the answering data to obtain an expanding answer.
And the correcting module 340 is configured to generate an auxiliary correcting result according to the standard answer and the expanded answer.
And the revising module 350 is configured to revise the auxiliary revision result according to the obtained revision information for the auxiliary revision result, so as to obtain a revision result of the data to be revised.
In this embodiment, for the explanation of the data modifying apparatus, reference may be made to the description in embodiment 1 or embodiment 2, and details are not repeated in this embodiment.
In some possible embodiments, the recognition module 310 may be a combination of a camera and a processing unit, and the extraction module 320, the expansion module 330, the modification module 340, the revision module 350, etc. may be a processing unit, such as a CPU, a processor, etc., without limitation.
The extracting module 320 and the expanding module 330 may be the same module as long as the above functions can be realized, and of course, the extracting module and the expanding module may be further divided into more small modules, which is not limited in any way.
It can be seen that, the data correction device described in this embodiment can identify the expanded answers and quickly correct the data to be corrected, and the correction result has high flexibility and high accuracy, thereby being beneficial to improving the correction efficiency.
Example 4
Referring to fig. 4, fig. 4 is a schematic structural diagram of a data modification apparatus according to an embodiment of the present disclosure. The data modifying device shown in fig. 4 is optimized by the data modifying device shown in fig. 3. As shown in fig. 4, the recognition module 310 includes:
the first sub-module 311 is configured to perform identification processing on the data to be corrected to obtain identification data;
a second sub-module 312, configured to match topic information corresponding to the identification data from a preset topic database;
and the third sub-module 313 is configured to obtain the title type and the standard answer of the data to be corrected according to the title information.
As an alternative embodiment, the first sub-module 311 includes:
the type determining unit is used for determining the data type of the data to be corrected;
and the identification unit is used for identifying the data to be corrected according to the data type to obtain identification data.
As an alternative embodiment, the third submodule 313 includes:
and the extraction unit is used for extracting the title identification in the data to be corrected from the identification data.
And the determining unit is used for determining the title type and the standard answer of the data to be corrected according to the title identification.
As an alternative embodiment, the extraction module 320 includes:
the fourth sub-module 321 is configured to determine, according to the question type, a position relationship between an answer portion and a question stem portion in the data to be corrected;
a fifth sub-module 322, configured to identify, according to a position relationship between the answer part and the question stem part, a position of the answer part in the data to be corrected;
and a sixth sub-module 323 for extracting response data from the data to be corrected according to the position of the answer portion.
As an optional implementation, the expansion module 330 includes:
a seventh sub-module 331, configured to extract the keywords in the response data;
an eighth sub-module 332, configured to match synonyms corresponding to the keywords according to a preset expanded database;
the ninth sub-module 333 is configured to perform expansion processing on the response data according to the synonym, so as to obtain an expansion answer.
In this embodiment, for the explanation of the data modifying apparatus, reference may be made to the description in embodiment 1 or embodiment 2, and details are not repeated in this embodiment.
It can be seen that, the data correction device described in this embodiment can identify the expanded answers and quickly correct the data to be corrected, and the correction result has high flexibility and high accuracy, thereby being beneficial to improving the correction efficiency.
Example 5
Referring to fig. 5, fig. 5 is a schematic structural diagram of a data modification system according to an embodiment of the present application. As shown in fig. 5, the data correcting system includes a first terminal, a second terminal and a data correcting device, and for example, the first terminal is a student terminal 410, and the second terminal is a teacher terminal 420, which will be described in detail, wherein the student terminal 410 is used for sending data to be corrected to the data correcting device 430.
In the embodiment of the present application, the student terminal 410, the teacher terminal 420, and the data modification device 430 may be connected to each other through internet, and the embodiment of the present application is not limited thereto.
In the embodiment of the present application, one data modification device 430 can be simultaneously connected to a plurality of student terminals 410 and a plurality of teacher terminals 420 in a communication manner, one teacher terminal 420 can be simultaneously connected to a plurality of student terminals 410 in a communication manner, and a plurality of student terminals 410 can be mutually connected in a communication manner.
In the embodiment of the present application, the student terminal 410 is a student client, and may specifically be a smart phone, a tablet computer, an intelligent learning machine, a computer, and the like, which is not limited in this embodiment of the present application.
In the embodiment of the present application, the student terminal 410 has functions of viewing videos of lessons, checking subjects, networking lessons, taking pictures or inputting homework, submitting homework, checking scores, and the like, and can also communicate with the student terminals 410 of other students through a networking communication function, and can check homework situations of other students, which is not limited in the embodiment of the present application.
In this embodiment of the application, the student terminal 410 may directly send the data to be corrected to the data correcting device 430, and may also send the data correcting device 430 to the teacher terminal 420 first, and the teacher terminal 420 forwards the data to the data correcting device 430, which is not limited in this embodiment of the application.
The data correcting device 430 is configured to identify and process data to be corrected, so as to obtain a question type and a standard answer of the data to be corrected; determining response data in the data to be corrected according to the question type, and carrying out expansion processing on the response data to obtain an expanded answer; generating an auxiliary correction result according to the standard answer and the extended answer; and transmits the secondary correction result to the teacher terminal 420.
In this embodiment of the present application, the data modification device 430 may be a computing device such as a server or a computer, and is not limited in this embodiment of the present application.
In the embodiment of the present application, the data modification device 430 has a function of receiving and sending information, and can determine a corresponding standard answer from a preset topic database according to topic information (such as a topic number, an answer feature word, a sequence, and the like), and can feed back an obtained auxiliary modification result to the teacher terminal 420.
The teacher terminal 420 is used for receiving the auxiliary correction result and receiving revision information made by the user aiming at the auxiliary correction result; and transmits the revision information to the data approval apparatus 430.
In this embodiment, the teacher terminal 420 may be a smart phone, a tablet computer, an intelligent learning machine, a computer, or the like, which is not limited in this embodiment.
In this embodiment, the teacher terminal 420 may further receive data to be corrected, which is sent by the student terminal 410, and forward the data to be corrected to the data correcting device 430, and may receive an auxiliary correcting result fed back by the data correcting device 430.
The data modification device 430 is further configured to receive the revision information, and modify the auxiliary modification result according to the revision information to obtain a modification result of the data to be modified; and sends the approval result to the student terminal 410.
In this embodiment, the teacher terminal 420 may output the auxiliary correction result, and receive the confirmation information and the modification information for the auxiliary correction result, which are input by the teacher, and then the data correction device 430 may process the auxiliary correction result according to the confirmation information and the modification information, so as to obtain a final correction result, and send the correction result to the student terminal 410.
And the student terminal 410 is used for receiving and outputting the correction result.
In the embodiment of the present application, the student may check the corresponding correction result through the student terminal 410, and may also perform operations such as preschool feedback, course learning, data checking, homework return visit, learning condition feedback, excellent homework learning, communication with other students, learning data sharing, and the like through the student terminal 410, which is not limited in the embodiment of the present application.
In this embodiment, for the explanation of the data modifying system, reference may be made to the description in embodiment 1 or embodiment 2, and details are not repeated in this embodiment.
It can be seen that, the data modification system described in this embodiment can identify the extended answers and rapidly modify the data to be modified, and the modification result has high flexibility and high accuracy, thereby facilitating the improvement of the modification efficiency.
Example 6
Referring to fig. 6, fig. 6 is an information interaction flow chart of a data modification system according to an embodiment of the present disclosure. As shown in fig. 6, the data correction system includes a first terminal, a second terminal and a data correction device, and the first terminal is taken as a student terminal 410, and the second terminal is taken as a teacher terminal 420 as an example, so as to describe the workflow of the data correction system in detail.
S501, the student terminal 410 sends data to be corrected to the data correcting device 430.
As an alternative embodiment, the student terminal 410 may first send the data to be corrected to the teacher terminal 420, and then the teacher terminal 420 collects the data to be corrected and forwards the data to the data correcting device 430.
S502, the data correction device 430 identifies and processes the data to be corrected, and obtains the question type and the standard answer of the data to be corrected.
S503, the data correcting device 430 determines response data in the data to be corrected according to the title type.
And S504, the data modification device 430 expands the response data to obtain an expanded answer.
And S505, generating an auxiliary correcting result by the data correcting device 430 according to the standard answer and the extended answer.
S506, the data modification device 430 sends the auxiliary modification result to the teacher terminal 420.
And S507, the teacher terminal 420 receives the auxiliary correction result and receives revision information made by the user aiming at the auxiliary correction result.
S508, the teacher terminal 420 transmits the revision information to the data approval apparatus 430.
S509, the data modification device 430 receives the revision information, and modifies the auxiliary modification result according to the revision information to obtain the modification result of the data to be modified.
S510, the data modification device 430 sends the modification result to the student terminal 410.
And S511, the student terminal 410 receives and outputs the correction result.
In this embodiment, the data to be modified may be text data, voice data, picture data, video data, or a combination of these data, and this embodiment of the present application is not limited thereto.
When the data to be corrected is text data, please refer to fig. 7 together, and fig. 7 is an information interaction flow chart of a data correcting system applied to text data according to an embodiment of the present application. As shown in fig. 7, the data correction system includes a student terminal 410, a teacher terminal 420, and a data correction device 430.
S601, the student terminal 410 sends the text data to the teacher terminal 420.
S602, the teacher terminal 420 forwards the text data to the data modifying device 430.
As an alternative embodiment, the student terminal 410 may directly send the data to be corrected to the data correcting device 430.
S603, the data correction device 430 receives the text data, and performs data type analysis and text recognition processing on the text data to obtain a title type and a standard answer of the text data.
S604, the data modifying device 430 determines the position relationship between the answer part and the question stem part in the text data according to the question type.
S605, the data correcting device 430 identifies the position of the answer part in the text data according to the position relationship between the answer part and the question stem part.
S606, the data correcting device 430 performs text region cutting processing on the text data according to the position of the answer part, extracts the answer region from the text data, and performs text-to-text recognition processing on the answer region to obtain the answering data.
And S607, the data modification device 430 performs expansion processing on the response data to obtain an expansion answer.
And S608, generating an auxiliary correcting result by the data correcting device 430 according to the standard answer and the extended answer.
S609, the data modification device 430 sends the auxiliary modification result to the teacher terminal 420.
S610, the teacher terminal 420 receives the auxiliary modification result and receives the revision information made by the user for the auxiliary modification result.
S611, the teacher terminal 420 transmits the revision information to the data approval apparatus 430.
And S612, the data modification device 430 receives the revision information, and modifies the auxiliary modification result according to the revision information to obtain the modification result of the text data.
S613, the data modification device 430 sends the modification result to the student terminal 410.
And S614, the student terminal 410 receives and outputs the correction result.
In this embodiment, for the explanation of the data modifying system, reference may be made to the description in embodiment 1 or embodiment 2, and details are not repeated in this embodiment.
It can be seen that, the data correction system described in this embodiment can identify the expanded answers and quickly correct the text data, and the correction result has high flexibility and high accuracy, thereby being beneficial to improving the correction efficiency.
The embodiment of the present application provides an electronic device, which includes a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the data modification method in embodiment 1 or embodiment 2 of the present application.
The embodiment of the present application provides a computer-readable storage medium, which stores computer program instructions, and when the computer program instructions are read and executed by a processor, the computer program instructions execute the data modification method in any one of embodiment 1 or embodiment 2 of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A data modification method, comprising:
identifying and processing data to be corrected to obtain the question type and the standard answer of the data to be corrected;
determining response data in the data to be corrected according to the question type, and carrying out expansion processing on the response data to obtain an expanded answer;
generating an auxiliary correcting result according to the standard answer and the extended answer;
and revising the auxiliary correction result according to the obtained revision information aiming at the auxiliary correction result to obtain the correction result of the data to be corrected.
2. The data correction method according to claim 1, wherein the identifying the data to be corrected to obtain the subject type and the standard answer of the data to be corrected comprises:
identifying the data to be corrected to obtain identification data;
matching title information corresponding to the identification data from a preset title database;
and acquiring the subject type and the standard answer of the data to be corrected according to the subject information.
3. The data batching method according to claim 2, wherein said identifying the data to be batched to obtain the identification data comprises:
determining the data type of the data to be corrected;
and identifying the data to be corrected according to the data type to obtain identification data.
4. The data approval method according to claim 2, wherein the obtaining of the subject type and the standard answer of the data to be approved according to the subject information comprises:
extracting a title identifier in the data to be corrected from the identification data;
and determining the title type and the standard answer of the data to be corrected according to the title identification.
5. The data approval method according to claim 1, wherein the determining response data in the data to be approved according to the topic type comprises:
determining the position relation between an answer part and a question stem part in the data to be corrected according to the question type;
identifying the position of the answer part in the data to be corrected according to the position relation between the answer part and the question stem part;
and extracting response data from the data to be corrected according to the position of the answer part.
6. The data approval method according to claim 1, wherein the expanding the response data to obtain expanded answers comprises:
extracting key words in the response data;
matching synonyms corresponding to the keywords according to a preset expanded database;
and carrying out expansion processing on the response data according to the synonym to obtain an expansion answer.
7. A data-wholesale device, characterized in that the data-wholesale device comprises:
the identification module is used for identifying and processing data to be corrected to obtain the question type and the standard answer of the data to be corrected;
the extraction module is used for determining response data in the data to be corrected according to the question type;
the expanding module is used for expanding the answering data to obtain an expanding answer;
the correcting module is used for generating an auxiliary correcting result according to the standard answer and the extended answer;
and the revision module is used for revising the auxiliary revision result according to the obtained revision information aiming at the auxiliary revision result to obtain the revision result of the data to be revised.
8. A data correction system is characterized in that the data correction system comprises a first terminal, a second terminal and a data correction device, wherein,
the first terminal is used for sending data to be corrected to the data correcting device;
the data correction device is used for identifying and processing the data to be corrected to obtain the question type and the standard answer of the data to be corrected; determining response data in the data to be corrected according to the question type, and performing expansion processing on the response data to obtain an expanded answer; generating an auxiliary correcting result according to the standard answer and the extended answer; and sending the auxiliary correction result to the second terminal;
the second terminal is used for receiving the auxiliary correction result and receiving revision information made by a user aiming at the auxiliary correction result; and sending the revision information to the data modification apparatus;
the data correcting device is also used for receiving the correcting information and correcting the auxiliary correcting result according to the correcting information to obtain a correcting result of the data to be corrected; and sending the correction result to the first terminal;
and the first terminal is used for receiving and outputting the correction result.
9. An electronic device, comprising a memory for storing a computer program and a processor for executing the computer program to cause the electronic device to perform the data batching method of any one of claims 1 to 6.
10. A readable storage medium having stored thereon computer program instructions which, when read and executed by a processor, perform the data batching method of any one of claims 1 to 6.
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