CN111950240A - A data correction method, device and system - Google Patents

Abstract

A data correction method, device and system relate to the field of learning and education. The data correction method comprises: when performing data correction, firstly identifying and processing the data to be corrected to obtain the question type and standard answer of the data to be corrected; , determine the answer data in the data to be corrected, and expand the answer data to obtain the expanded answer; and generate the auxiliary correction result according to the standard answer and the expanded answer, and finally, according to the obtained revision information for the auxiliary correction result, correct the result. The auxiliary correction results are revised and processed to obtain the correction results of the data to be corrected, so as to achieve the technical effect of quickly and accurately correcting the corrected data. At the same time, the auxiliary correction results are revised through the revision information, which can improve the flexibility of the correction results. accuracy and accuracy, which is conducive to improving the efficiency of correction.

Description

A data correction method, device and system

technical field

The present application relates to the field of learning and education, and in particular, to a data correction method, device and system.

Background technique

At present, the existing data correction method is usually manual correction method. When data correction is performed by manual correction method, each data needs to be manually reviewed and corrected, which wastes a lot of time, and the correction efficiency is low, and manual correction is prone to errors. batches, etc. It can be seen that the existing data correction method is manual correction, the correction results are rigid, the correction efficiency is low, and the accuracy is low.

SUMMARY OF THE INVENTION

The purpose of the embodiments of the present application is to provide a data correction method, device and system, which can identify extended answers and quickly correct the data to be corrected.

A first aspect of the embodiments of the present application provides a data correction method, including:

Perform identification processing on the data to be corrected, and obtain the question type and standard answer of the data to be corrected;

According to the question type, determine the answer data in the data to be corrected, and perform expansion processing on the answer data to obtain an expanded answer;

generating an auxiliary correction result according to the standard answer and the extended answer;

According to the obtained revision information for the auxiliary revision result, a revision process is performed on the auxiliary revision result to obtain the revision result of the data to be revised.

In the above implementation process, when correcting data, first identify the data to be corrected to obtain the question type and standard answer of the data to be corrected; then according to the question type, determine the answer data in the data to be corrected, and perform Expand processing to obtain expanded answers; and generate auxiliary correction results according to the standard answers and expanded answers. Finally, according to the obtained revision information for the auxiliary correction results, the auxiliary correction results are revised and processed to obtain the correction results of the data to be corrected. The technical effect of quickly and accurately correcting the correction data is achieved, and at the same time, the auxiliary correction result is revised through the revision information, which can improve the flexibility and accuracy of the correction result, thereby improving the correction efficiency.

Further, the data to be corrected is identified and processed to obtain the question type and standard answer of the data to be corrected, including:

Perform identification processing on the data to be corrected to obtain identification data;

Match the topic information corresponding to the identification data from the preset topic database;

The question type and standard answer of the data to be corrected are acquired according to the question information.

In the above implementation process, the data to be corrected is first identified to obtain the identification data, and then the corresponding question type and standard answer are matched according to the preset question database, thereby realizing the technical effect of quickly and accurately locating the question type and standard answer.

Further, performing identification processing on the data to be corrected to obtain identification data, including:

Determine the data type of the data to be revised;

The data to be corrected is identified according to the data type to obtain identification data.

In the above implementation process, in actual use, the data to be corrected is data such as pictures, texts, voices, and videos. Therefore, when identifying the data to be corrected, first determine the data type of the data to be corrected, and then identify the data to be corrected according to the data type (for example, the picture type is processed by image recognition, and the text type is processed by text recognition, etc.) , get identification data, data type compatibility is strong, and applicability is strong.

Further, obtaining the question type and standard answer of the data to be corrected according to the question information includes:

Extract the title identifier in the data to be corrected from the identification data;

According to the question identification, the question type and standard answer of the data to be corrected are determined.

In the above implementation process, after the identification data is obtained, the corresponding question identification can be extracted from the identification data, the data processing is simple, and the question type and standard answer can be quickly determined according to the question identification.

Further, determining the answer data in the data to be corrected according to the question type includes:

According to the question type, determine the positional relationship between the answer part and the question stem part in the data to be corrected;

Identify the position of the answer part in the data to be corrected according to the positional relationship between the answer part and the question stem part;

Answer data is extracted from the data to be corrected according to the position of the answer part.

In the above implementation process, when the answering data is extracted, the positional relationship between the answer and the question stem is determined according to the question type, which is beneficial to accurately determine the position of the answering data, thereby improving the accuracy of answer extraction.

Further, performing expansion processing on the answering data, and obtaining an expanded answer includes:

extracting keywords in the answering data;

Match the synonyms corresponding to the keywords according to the preset expansion database;

The answer data is expanded according to the synonym to obtain an expanded answer.

In the above implementation process, expanding the answer data is equivalent to replacing words with the same meaning in the answer data. First, the keywords that need to be expanded are determined, and then the keywords are determined according to the preset expansion database. Corresponding synonyms, and finally expand the answer data through synonyms, and then obtain expanded answers, further improving the compatibility and accuracy of data correction, and the flexibility of correction results is high, which is conducive to improving the efficiency of correction.

A second aspect of the embodiments of the present application provides a data correction device, and the data correction device includes:

The identification module is used to identify and process the data to be corrected, and obtain the question type and standard answer of the data to be corrected;

an extraction module, configured to determine the answer data in the data to be corrected according to the question type;

an expansion module, used for expanding the answering data to obtain an expanded answer;

A correction module, used for generating auxiliary correction results according to the standard answer and the extended answer;

The revision module is configured to perform revision processing on the auxiliary revision result according to the obtained revision information for the auxiliary revision result, and obtain the revision result of the data to be revised.

In the above implementation process, when correcting data, the identification module first identifies and processes the data to be corrected, and obtains the question type and standard answer of the data to be corrected; then the extraction module determines the answer data in the data to be corrected according to the question type, and expands The module expands the answer data to obtain the expanded answer; further, the correction module generates auxiliary correction results according to the standard answer and the expanded answer, so as to realize the effect of correct identification and correction of the expanded answer. The revision information for the auxiliary correction results, the auxiliary correction results are revised, and the correction results of the data to be corrected are obtained, so as to achieve the technical effect of quickly and accurately correcting the correction data. At the same time, the auxiliary correction results are revised through the revision information. Processing can improve the flexibility and accuracy of the correction results, which in turn is conducive to improving the efficiency of correction.

Further, the identification module includes:

The first sub-module is used to identify and process the data to be corrected to obtain identification data;

The second submodule is used to match the topic information corresponding to the identification data from the preset topic database;

The third sub-module is configured to acquire the question type and standard answer of the data to be corrected according to the question information.

In the above implementation process, when identifying and processing the data to be corrected, the first sub-module needs to first identify and process the data to be corrected to obtain the identification data, and then the second sub-module matches the corresponding question type and standard answer, and then realizes Quickly and accurately locate the technical effect of question types and standard answers.

A third aspect of the embodiments of the present application provides a data correction system, where the data correction system includes a first terminal, a second terminal, and a data correction device, wherein,

the first terminal, configured to send the data to be corrected to the data correction device;

The data correction device is used for identifying and processing the data to be corrected to obtain the question type and standard answer of the data to be corrected; and according to the question type, determining the answer data in the data to be corrected, and Carry out expansion processing on the answering data to obtain an expanded answer; and generate an auxiliary correction result according to the standard answer and the expanded answer; and send the auxiliary correction result to the second terminal;

the second terminal, configured to receive the auxiliary correction result, and receive revision information made by the user for the auxiliary correction result; and send the revision information to the data correction device;

The data correction device is further configured to receive the revision information, perform revision processing on the auxiliary correction result according to the revision information, and obtain the correction result of the data to be corrected; and send the correction result to the the first terminal;

The first terminal is used for receiving and outputting the correction result.

In the above implementation process, when performing data correction, the first terminal first sends the data to be corrected to the data correction device. Then, when the data correction device receives the data to be corrected, it first identifies and processes the data to be corrected to obtain the question type and standard answer of the data to be corrected; and according to the question type, determines the answer data in the data to be corrected, and performs Expand processing to obtain expanded answers; and generate auxiliary correction results according to the standard answers and expanded answers. Finally, according to the obtained revision information for the auxiliary correction results, revise the auxiliary correction results to obtain the correction results of the data to be corrected. The auxiliary correction result is then sent to the second terminal. The second terminal can output and display the auxiliary correction result, and receive revision information made by the user for the auxiliary correction result. Finally, the data correction device can receive the revision information sent by the second terminal, perform revision processing on the auxiliary correction result according to the revision information, generate the correction result of the data to be corrected, and feed back the correction result to the first terminal in time. In this way, the technical effect of quickly and accurately correcting the correction data can be achieved. At the same time, the auxiliary correction results are revised through the revision information, which can improve the flexibility and accuracy of the correction results, thereby improving the correction efficiency.

A fourth aspect of an embodiment 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 cause the electronic device to execute the first embodiment of the present application. The data correction method according to any one of the aspects.

A fifth aspect of the embodiments of the present application provides a computer-readable storage medium, which stores computer program instructions. When the computer program instructions are read and run by a processor, any one of the first aspects of the embodiments of the present application is executed. The data correction method described in item.

Description of drawings

In order to explain the technical solutions of the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, therefore It should not be regarded as a limitation of the scope. For those of ordinary skill in the art, other related drawings can also be obtained from these drawings without any creative effort.

1 is a schematic flowchart of a data correction method provided in Embodiment 1 of the present application;

2 is a schematic flowchart of a data correction method provided in Embodiment 2 of the present application;

3 is a schematic structural diagram of a data correction device provided in Embodiment 3 of the present application;

4 is a schematic structural diagram of a data correction device according to Embodiment 4 of the present application;

FIG. 5 is a schematic diagram of the system architecture of a data correction system according to Embodiment 5 of the present application;

FIG. 6 is an information interaction flow chart of a data correction system according to Embodiment 6 of the present application;

FIG. 7 is a flowchart of information interaction in a data correction system applied to text data according to Embodiment 6 of the present application.

Icons: 410-student terminal; 420-teacher terminal; 430-data correction device.

Detailed ways

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings in the embodiments of the present application.

It should be noted that like numerals and letters refer to like items in the following figures, so once an item is defined in one figure, it does not require further definition and explanation in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

Example 1

Please refer to FIG. 1. FIG. 1 provides a schematic flowchart of a data correction method according to an embodiment of the present application. Among them, the data correction method includes:

S101. Perform identification processing on the data to be corrected, and obtain the question type and standard answer of the data to be corrected.

In the embodiment of the present application, the execution body of the method may be a computing device such as a computer, a server (single server or a server cluster), etc., which is not limited in this embodiment.

In the embodiment of the present application, the execution subject of the method may also be a smart device such as a smart phone and a tablet, which is not limited in this embodiment.

In the embodiment of the present application, the identification processing of the data to be corrected includes data type analysis and data content identification of the data to be corrected.

In the embodiment of the present application, after receiving the data to be corrected, the data type of the data to be corrected can be determined first, and then a corresponding identification method is used to identify and process the data to be corrected according to the data type, so as to obtain the title type and standard of the data to be corrected. Answer.

In this 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, etc. Of course, it may also be a combination of the above data types, which is not limited in this embodiment of the present application.

In the embodiment of this application, assignments of different data types have different question types. For example, for the data to be corrected of the picture type, the question types may include but are not limited to fill-in-the-blank questions, multiple-choice questions, quiz questions, judgment questions, etc.; Types of data to be corrected, the question types may include but are not limited to reading questions, pronunciation questions, etc.; for video-type data to be corrected, the question types may include but are not limited to mouth questions, action questions, etc. limited.

After step S101, the following steps are also included:

S102. Determine answer data in the data to be corrected according to the question type, and perform expansion processing on the answer data to obtain an expanded answer.

In the embodiment of the present application, after determining the question type, the positional relationship between the answering data and the homework question stem can be determined according to the question type, and then corresponding answering data can be extracted according to the positional relationship between the answering data and the homework question stem. For example, for picture-type data to be corrected, the question types can be fill-in-the-blank questions, multiple-choice questions, quiz questions, application questions, and judgment questions. For multiple-choice and true-false questions, the answer data is in a specific answer box (such as brackets, horizontal lines, square brackets, etc.); for quiz questions and application questions, the answer data area and the homework question stem area are independent of each other.

In this embodiment of the present application, after the answering data is obtained, the answering data also needs to be expanded. In practical applications, the same meaning can be expressed in different words. Therefore, the answer data of different people have the same meaning, but the answer words or answer sentences used are different. Therefore, by expanding the answer data , which can be compatible with different answer expression forms, which is conducive to improving the flexibility and accuracy of the correction results, which in turn is conducive to improving the efficiency of data correction.

It should be noted that, in order to improve the flexibility and accuracy of homework correction, the number of words and characters for synonym expansion can be unlimited. For example, "male" can be expanded to "male"; "buy" can be expanded to "purchase"; "=" can be expanded to "equal to"; "plus" can be expanded to "+", etc., which will not be repeated.

In addition, in these specific scenarios, the synonym expansion can also not limit the text type, for example, "yes" can be expanded to "√", "correct", or "yes", or "Y", or even Expands to "OK".

Of course, in order to ensure the accuracy, the aforementioned methods also need to be pre-stored in advance, and the applicable scenarios must be set, which will not be repeated here.

Furthermore, in actual operation, some error markers can also be set, such as some negative words, such as "no", "no", "not", etc. When the words indicating the correct answer appear in the answer data, It is also necessary to determine whether there are wrong identifiers in the context of these words. For example, the standard answer is "yes", and the answer data is "no". When the word "no" in the answer data is determined, it can be determined that the question is wrong.

S103. Generate an auxiliary correction result according to the standard answer and the expanded answer.

时，则对该作答数据进行同义拓展，进而得到的拓展答案中的作答数据为

或者0.5或者50％，那么在生成辅助批改结果时，根据其拓展答案，可以批改为正确，能够兼容不同的答案表达形式，有利于提升批改结果的灵活性和准确度，进而有利于提升数据批改效率。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

When , the answer data is expanded synonymously, and the answer data in the expanded answer is obtained as

Or 0.5 or 50%, then when generating the auxiliary correction result, according to its expanded answer, it can be corrected to be correct, and it can be compatible with different answer expressions, which is conducive to improving the flexibility and accuracy of the correction result, which is conducive to improving data correction. efficiency.

In the embodiment of the present application, when the execution body of the method is a server for assisting in correcting homework, after receiving the first terminal (such as a student terminal, a student terminal, etc., specifically a student mobile phone, a student computer, or a student PAD, etc.) After submitting the data to be corrected, and generating an auxiliary correction result based on the data to be corrected, the auxiliary correction result can be sent to the corresponding second terminal (such as a teacher terminal, a teaching terminal, specifically a teacher's mobile phone, a teacher's computer, or a teacher's PAD, etc. ), then the second terminal, after receiving the auxiliary correction result, can output the auxiliary correction result by marking and strengthening the display, so that the users (such as teaching teachers, tutors, class teachers, etc.) who use the second terminal can directly Pay attention to the answer area and the result area, and confirm or revise the auxiliary correction results (such as supplementing the correction results, modifying the correction results, etc.) through the second terminal, and then generate revision information, and then the second terminal will send the revision information to the server. .

In the embodiment of the present application, by performing step S103, the flexibility and accuracy of the correction result can be improved, and thus the efficiency of data correction can be improved.

After step S103, the following steps are also included:

S104. According to the obtained revision information for the auxiliary revision result, perform revision processing on the auxiliary revision result to obtain the revision result of the data to be revised.

In the embodiment of the present application, the auxiliary correction result obtained by implementing the above steps S101 to S103 is obtained by correcting the data to be corrected according to the standard answer. At this time, the auxiliary correction result can be output, and the auxiliary correction result can be checked manually. If there is a correction problem in the auxiliary correction result, you can enter the corresponding revision information to revise the auxiliary correction result to obtain the final correction result, and the auxiliary correction result obtained by the automatic correction operation can be reviewed in time, and errors can be corrected in time , high flexibility, which is conducive to improving the accuracy and efficiency of data correction.

As an optional implementation, after the auxiliary correction result is obtained, confirmation information for the auxiliary correction result can also be received, indicating that the auxiliary correction result meets the manual review standard, and the auxiliary correction result is determined as the data to be corrected. Correction results.

It can be seen that the implementation of the data correction method described in Figure 1 can identify the expanded answer and quickly correct the data to be corrected, and the correction result has high flexibility and high accuracy, which is conducive to improving the correction efficiency.

Example 2

Please refer to FIG. 2 , which is a schematic flowchart of a data correction method provided by an embodiment of the present application. As shown in Figure 2, wherein, the data correction method includes:

S201. Perform identification processing on the data to be corrected to obtain identification data.

As an optional implementation manner, identification processing is performed on the data to be corrected to obtain identification data, including:

Determine the data type of the data to be revised;

The data to be corrected is identified and processed according to the data type to obtain identification data.

In the above embodiment, the identification processing of the data to be corrected includes data type analysis and data content identification of the data to be corrected.

In the above embodiment, the data type of the data to be corrected may be text type, voice type, picture type, video type, etc., or a mixed type of any of the above methods, which is not limited in this embodiment of the present application.

In the above embodiment, for the text type data to be corrected, the text information in the data to be corrected can be directly extracted, and the format of the text information can be converted into a recognizable data format, and then the identification data can be obtained, and the data to be corrected can be obtained. The identification process is performed to obtain identification data.

In the above embodiment, for the data to be corrected of the picture type, the data to be corrected can be recognized and processed by a picture recognition algorithm, and the characters in the data to be corrected can also be recognized and processed by using the OCR (optical character recognition) character recognition technology, and then the characters in the data to be corrected can be recognized. get identification data.

In the above-mentioned embodiment, for the data to be corrected of the voice type, the speech recognition technology can be used to identify and process the data to be corrected to obtain the recognized data.

In the above embodiment, for the data to be corrected of the video type, the video recognition technology can be used to identify the data to be corrected to obtain the identification data.

After step S201, the following steps are also included:

S202. Match topic information corresponding to the identification data from a preset topic database.

In the embodiments of the present application, the question identifiers include question numbers, answer characteristic words, question sequences, question keywords, etc., which are not limited in the embodiments of the present application.

In the embodiment of the present application, the topic information corresponding to the identification data may be determined from the preset topic database according to the topic identifier.

S203. Obtain the question type and standard answer of the data to be corrected according to the question information.

In the embodiment of this application, assignments of different data types have different question types. For the data to be corrected of the picture type, the question types may include but are not limited to fill-in-the-blank questions, multiple-choice questions, quiz questions, judgment questions, etc. The embodiment is not limited.

In the embodiment of the present application, the question type and standard answer of the data to be corrected can be matched from the preset question database according to the question information.

As an optional implementation manner, obtaining the question type and standard answer of the data to be corrected according to the question information may include the following steps:

Extract the title identifier in the data to be corrected from the identification data;

According to the question identification, determine the question type and standard answer of the data to be corrected.

In the embodiment of the present application, by implementing the above steps S201 to S203, the data to be corrected can be identified and processed to obtain the question type and standard answer of the data to be corrected.

S204: Determine the positional relationship 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 types may be fill-in-the-blank questions, multiple-choice questions, quiz questions, application questions, judgment questions, and the like. For fill-in-the-blank questions, the answer part is embedded in the question stem; for multiple-choice and true-and-true questions, the answer part is in a specific answer box (such as brackets, dashes, square brackets, underscores, spaces, etc.); for question-and-answer questions and For applied questions, the answer part and the question stem part are independent of each other, and the answer part is located below the question stem part, of course, it can also be in other positions, such as right, left, above, etc.

S205: Identify the position of the answer part in the data to be corrected according to the positional relationship between the answer part and the question stem part.

In the above example, for fill-in-the-blank questions, the position of the answer part is in the question stem; for multiple-choice and true-false questions, the position of the answer part is in a specific answer box; for quiz questions and application questions, the position of the answer part is The location is below the stem section.

Of course, when determining the answer part, it can also be judged whether there are marks pointing to other positions in the answer part (or answer box), such as arrows, downward or upward angle brackets, etc. The part of the content referred to, or the content contained in the angle brackets is also used as the answer part, and will not be repeated here.

For example, in a fill-in-the-blank question, the reserved answer box is not enough to hold the student's answer data. The student can write the remaining text in another position, and connect the two parts of the answer according to the pre-agreed symbols, which will not be repeated. .

S206, extracting answer data from the data to be corrected according to the position of the answer part.

In the above example, when the answer data is extracted from the data to be corrected according to the position of the answer part, for fill-in-the-blank questions, first identify the question stem, and then determine the handwriting area of the question stem, and then perform text recognition processing on the handwriting area. Then get the answer data; for multiple-choice questions and judgment questions, first determine a specific answer box area, and then perform text recognition processing on the specific answer box area, and then get the answer data; for quiz questions and application questions, first determine the question stem part position, and then determine the handwriting area below the stem part of the question, and finally perform character recognition processing on the handwriting area to obtain answer data.

In the embodiment of the present application, the above steps S204 to S205 are implemented, and the answer data in the data to be corrected can be determined according to the question type.

S207, extracting keywords in the answering data.

As an optional implementation manner, the response data may be processed according to preset common keyword extraction rules to obtain keyword information.

As an optional implementation manner, the words in the answering data may be divided first to obtain multiple words, and all the multiple words may be used as keywords.

After step S207, the following steps are also included:

S208 , matching the synonyms corresponding to the keywords according to the preset expansion database.

S209 , performing expansion processing on the answering data according to the synonyms to obtain an expanded answer.

50％，则对该作答数据进行同义拓展，进而得到的拓展答案包括

或者0.5或者50％，那么在生成辅助批改结果时，当标准答案为0.5时，根据其拓展答案，可以批改为正确，能够兼容不同的答案表达形式，有利于提升批改结果的灵活性和准确度，进而有利于提升数据批改效率。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 expansion database as:

50%, then synonymously expand the answer data, and the expanded answers obtained include:

Or 0.5 or 50%, then when the auxiliary correction result is generated, when the standard answer is 0.5, according to its expanded answer, it can be corrected to be correct, and it can be compatible with different answer expressions, which is conducive to improving the flexibility and accuracy of the correction result. , which is beneficial to improve the efficiency of data correction.

In this embodiment of the present application, by implementing the above steps S207 to S209, the answer data can be expanded and an expanded answer can be obtained.

S210. Generate an auxiliary correction result according to the standard answer and the expanded answer.

S211. According to the obtained revision information for the auxiliary revision result, perform revision processing on the auxiliary revision result to obtain the revision result of the data to be revised.

It can be seen that the implementation of the data correction method described in Figure 2 can identify the expanded answer and quickly correct the data to be corrected, and the correction result has high flexibility and accuracy, which is conducive to improving the correction efficiency.

Example 3

Please refer to FIG. 3 , which is a schematic structural diagram of a data correction apparatus provided by an embodiment of the present application. As shown in Figure 3, the data correction device includes:

The identification module 310 is used for identifying and processing the data to be corrected to obtain the question type and standard answer of the data to be corrected.

The extraction module 320 is configured to determine the answer data in the data to be corrected according to the question type.

The expansion module 330 is configured to perform expansion processing on the answering data to obtain an expanded answer.

The correction module 340 is used for generating auxiliary correction results according to the standard answer and the extended answer.

The revision module 350 is configured to perform revision processing on the auxiliary revision result according to the obtained revision information for the auxiliary revision result, so as to obtain the revision result of the data to be revised.

In this embodiment, for the explanation of the data correcting apparatus, reference may be made to the description in Embodiment 1 or Embodiment 2, which will not be repeated in this embodiment.

In some possible implementations, the identification module 310 can be a combination of a camera and a processing unit, and the extraction module 320 , the expansion module 330 , the correction module 340 , the revision module 350 , etc. can all be processing units, such as a CPU, a processor, etc. , which is not limited.

The extraction module 320 and the expansion module 330 may be the same module, as long as the above functions can be implemented. Of course, they may also be divided into more small modules, which is not limited in any way.

It can be seen that implementing the data correction device described in this embodiment can identify the expanded answer and quickly correct the data to be corrected, and the correction result has high flexibility and high accuracy, which is beneficial to improve the correction efficiency.

Example 4

Please refer to FIG. 4 together. FIG. 4 is a schematic structural diagram of a data correction apparatus provided by an embodiment of the present application. The data correction device shown in FIG. 4 is obtained by optimizing the data correction device shown in FIG. 3 . As shown in Figure 4, the identification module 310 includes:

The first sub-module 311 is used to identify and process the data to be corrected to obtain identification data;

The second submodule 312 is used to match the topic information corresponding to the identification data from the preset topic database;

The third sub-module 313 is configured to obtain the question type and standard answer of the data to be corrected according to the question information.

As an optional implementation manner, the first submodule 311 includes:

Type determination unit, used to determine the data type of the data to be revised;

The identification unit is used for identifying and processing the data to be corrected according to the data type to obtain identification data.

As an optional implementation manner, the third submodule 313 includes:

The extraction unit is used for extracting the title identifier in the data to be corrected from the identification data.

The determining unit determines the question type and standard answer of the data to be corrected according to the question identification.

As an optional implementation manner, the extraction module 320 includes:

The fourth submodule 321 is used to determine the positional relationship between the answer part and the question stem part in the data to be corrected according to the question type;

The fifth submodule 322 is used to identify the position of the answer part in the data to be corrected according to the positional relationship between the answer part and the question stem part;

The sixth sub-module 323 is used for extracting answer data from the data to be corrected according to the position of the answer part.

As an optional implementation manner, the expansion module 330 includes:

The seventh submodule 331 is used to extract keywords in the answering data;

The eighth submodule 332 is used to match the synonyms corresponding to the keywords in the preset expansion database;

The ninth sub-module 333 is used for expanding the answering data according to the synonyms to obtain expanded answers.

In this embodiment, for the explanation of the data correcting apparatus, reference may be made to the description in Embodiment 1 or Embodiment 2, which will not be repeated in this embodiment.

It can be seen that implementing the data correction device described in this embodiment can identify the expanded answer and quickly correct the data to be corrected, and the correction result has high flexibility and high accuracy, which is beneficial to improve the correction efficiency.

Example 5

Please refer to FIG. 5 , which is a schematic structural diagram of a data correction system provided by an embodiment of the present application. As shown in FIG. 5 , the data correction system includes a first terminal, a second terminal and a data correction device. Taking the first terminal as the student terminal 410 and the second terminal as the teacher terminal 420 as an example, the data correction system will be introduced in detail. Among them, the student terminal 410 is used to send the data to be corrected to the data correction device 430 .

In the embodiment of the present application, the student terminal 410, the teacher terminal 420, and the data correction device 430 may be connected through the Internet for communication, which is not limited in the embodiment of the present application.

In the embodiment of the present application, one data correction device 430 can communicate with multiple student terminals 410 and multiple teacher terminals 420 at the same time, and one teacher terminal 420 can communicate with multiple student terminals 410 at the same time. can communicate with each other.

In the embodiment of the present application, the student terminal 410 is the student client terminal, which may specifically be a smart phone, a tablet computer, an intelligent learning machine, a computer, or 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 such as watching class videos, viewing questions, taking classes online, taking pictures or inputting assignments, submitting assignments, and viewing grades, etc., and can also communicate with the student terminals 410 of other students through the network communication function. And can check the homework of other students, which is not limited in this embodiment of the present application.

In the embodiment of the present application, the student terminal 410 may directly send the data to be corrected to the data correction device 430, or may first send the data correction device 430 to the teacher terminal 420, and the teacher terminal 420 then forwards it to the data correction device 430. The embodiments of the present application are not limited.

The data correction device 430 is used to identify and process the data to be corrected, and obtain the question type and standard answer of the data to be corrected; and according to the question type, determine the answer data in the data to be corrected, and perform expansion processing on the answer data to obtain the expanded answer ; and generate an auxiliary correction result according to the standard answer and the extended answer; and send the auxiliary correction result to the teacher terminal 420 .

In this embodiment of the present application, the data correction device 430 may be a computing device such as a server and a computer, which is not limited in this embodiment of the present application.

In the embodiment of the present application, the data correction device 430 has the function of sending and receiving information, and can also determine the corresponding standard answer from the preset question database according to the question information (such as question number, answer characteristic word, sequence, etc.) The correction result is fed back to the teacher terminal 420 .

The teacher terminal 420 is configured to receive the auxiliary correction result and the revision information made by the user for the auxiliary correction result; and send the revision information to the data correction device 430 .

In the embodiment of the present application, the teacher terminal 420 may be a smart phone, a tablet computer, an intelligent learning machine, a computer, etc., which is not limited in the embodiment of the present application.

In this embodiment of the present application, the teacher terminal 420 can also receive the data to be corrected sent by the student terminal 410 and forward the to-be-corrected data to the data correction device 430 , and can receive the auxiliary correction result fed back by the data correction device 430 .

The data correction device 430 is further configured to receive revision information, perform revision processing on the auxiliary correction result according to the revision information, and obtain the correction result of the data to be corrected; and send the correction result to the student terminal 410 .

In the embodiment of the present application, the teacher terminal 420 may output the auxiliary correction result, and receive the confirmation information and modification information for the auxiliary correction result input by the teacher, and then the data correction device 430 may correct the auxiliary correction according to the confirmation information and modification information. The result is processed to obtain a final correction result, and the correction result is sent to the student terminal 410 .

The student terminal 410 is used to receive and output the correction result.

In the embodiment of this application, students can check the corresponding correction results through the student terminal 410, and can also use the student terminal 410 to perform pre-school feedback, course study, data viewing, homework return visit, learning feedback, excellent homework learning, and communication with other students , learning data sharing and other operations, which are not limited in this embodiment of the present application.

In this embodiment, for the explanation of the data correction system, reference may be made to the description in Embodiment 1 or Embodiment 2, which will not be repeated in this embodiment.

It can be seen that, by implementing the data correction system described in this embodiment, it is possible to identify the expanded answer and quickly correct the data to be corrected, and the correction result has high flexibility and high accuracy, which is beneficial to improve the correction efficiency.

Example 6

Please refer to FIG. 6 together. FIG. 6 is a flowchart of information interaction of a data correction system provided by an embodiment of the present application. As shown in FIG. 6 , the data correction system includes a first terminal, a second terminal and a data correction device. Taking the first terminal as the student terminal 410 and the second terminal as the teacher terminal 420 as an example, the workflow of the data correction system is carried out. Details.

S501 , the student terminal 410 sends the data to be corrected to the data correction device 430 .

As an optional implementation manner, the student terminal 410 may first send the data to be corrected to the teacher terminal 420 , and then the teacher terminal 420 summarizes the to-be-corrected data and forwards it to the data correction device 430 .

S502 , the data correction device 430 performs identification processing on the data to be corrected, and obtains the question type and standard answer of the data to be corrected.

S503. The data correction device 430 determines the answer data in the data to be corrected according to the question type.

S504. The data correction device 430 performs expansion processing on the answering data to obtain an expanded answer.

S505. The data correction device 430 generates an auxiliary correction result according to the standard answer and the extended answer.

S506 , the data correction device 430 sends the auxiliary correction result to the teacher terminal 420 .

S507: The teacher terminal 420 receives the auxiliary correction result, and receives the revision information made by the user for the auxiliary correction result.

S508 , the teacher terminal 420 sends the revision information to the data correction device 430 .

S509: The data correction device 430 receives the revision information, and performs revision processing on the auxiliary correction result according to the revision information, so as to obtain the correction result of the data to be corrected.

S510 , the data correction device 430 sends the correction result to the student terminal 410 .

S511. The student terminal 410 receives and outputs the correction result.

In this embodiment of the present application, the data to be corrected may be text data, voice data, picture data, video data, etc., or may be a combination of the above data, which is not limited in this embodiment of the present application.

When the data to be corrected is text data, please refer to FIG. 7 together. FIG. 7 is a flowchart of information interaction of a data correction system applied to text data provided by 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 text data to the teacher terminal 420 .

S602 , the teacher terminal 420 forwards the text data to the data correction device 430 .

As an optional implementation manner, the student terminal 410 may directly send the data to be corrected to the data correction 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 the question type and standard answer of the text data.

S604. The data correction device 430 determines the positional relationship between the answer part and the question stem part in the text data according to the question type.

S605. The data correction device 430 identifies the position of the answer part in the text data according to the positional relationship between the answer part and the question stem part.

S606: The data correction 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 recognition processing on the answer region to obtain answer data.

S607. The data correction device 430 performs expansion processing on the answering data to obtain an expanded answer.

S608. The data correction device 430 generates an auxiliary correction result according to the standard answer and the extended answer.

S609 , the data correction device 430 sends the auxiliary correction result to the teacher terminal 420 .

S610. The teacher terminal 420 receives the auxiliary correction result, and receives the revision information made by the user for the auxiliary correction result.

S611 , the teacher terminal 420 sends the revision information to the data correction device 430 .

S612. The data correction device 430 receives the revision information, and performs revision processing on the auxiliary correction result according to the revision information to obtain the correction result of the text data.

S613 , the data correction device 430 sends the correction result to the student terminal 410 .

S614, the student terminal 410 receives and outputs the correction result.

In this embodiment, for the explanation of the data correction system, reference may be made to the description in Embodiment 1 or Embodiment 2, which will not be repeated in this embodiment.

It can be seen that by implementing the data correction system described in this embodiment, it is possible to identify the expanded answer and quickly correct the text data, and the correction result has high flexibility and high accuracy, which is beneficial to improve the correction efficiency.

An embodiment 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 cause the electronic device to execute Embodiment 1 or Embodiment 1 of the present application 2. Any one of the data correction methods.

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, executes any one of Embodiment 1 or Embodiment 2 of the present application Data correction method.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may also be implemented in other manners. The apparatus embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality and possible implementations of apparatuses, methods and computer program products according to various embodiments of the present application. operate. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function(s) executable instructions. 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 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 is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.

In addition, each functional module in each embodiment of the present application may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

If the functions are implemented in the form of software function modules and sold or used as independent products, they may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

The above descriptions are merely examples of the present application, and are not intended to limit the protection scope of the present application. For those skilled in the art, various modifications and changes may be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the protection scope of this application. It should be noted that like numerals and letters refer to like items in the following figures, so once an item is defined in one figure, it does not require further definition and explanation in subsequent figures.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes 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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