CN117194615A - Enterprise compliance data processing method and platform - Google Patents
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Abstract
The invention provides an enterprise compliance data processing method and a platform, which are used for calling corresponding preset splitting information according to text attributes of a basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts and text labels corresponding to the split sub-texts; extracting corresponding associated data in an associated database and a data tag corresponding to the associated data according to the text main body; constructing a target filling area corresponding to the target sub-text, and filling the associated data into the target filling area based on the associated template to obtain a summary text; generating a data structure corresponding to each associated data according to the corresponding relation between the text position and the target sub-text; and generating a chain preview path corresponding to the summarized text and the data structure based on a preset path generation strategy, and generating online compliance preview information of the access terminal based on the access right of the access terminal and the chain preview path after judging that any access terminal has access requirements on the summarized text.
Description
Technical Field
The present invention relates to data processing technologies, and in particular, to a method and a platform for processing enterprise compliance data.
Background
In the present digital age, with the continuous expansion of enterprise scale and the continuous development of technology, establishing effective data compliance management is one of the important tasks that each enterprise must consider.
At present, after the contract text is signed, the data related to the contract text may be quite large, for example, payment, a transport label and the like may need to be carried out after the contract is signed, corresponding associated data such as payment data, transport data and the like related to the contract are generated, and in the prior art, when the contract text and the associated data are subjected to compliance management, a plurality of contract texts and associated data are generally subjected to decentralized management, so that the compliance management of the contract data is inconvenient, and the efficiency of a user in checking the contract data is reduced.
Therefore, how to collect and manage the contract data improves the management efficiency of the user on the contract data, and becomes a problem to be solved urgently nowadays.
Disclosure of Invention
The embodiment of the invention provides an enterprise compliance data processing method and platform, which can be used for summarizing and managing contract data and improve the management efficiency of a user on the contract data.
In a first aspect of an embodiment of the present invention, there is provided an enterprise compliance data processing method, including:
Receiving a basic text, calling corresponding preset splitting information according to text attributes of the basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts and text labels corresponding to the split sub-texts;
acquiring a text main body of the basic text, and extracting corresponding associated data in an associated database and a data tag corresponding to the associated data according to the text main body;
determining a split sub-text corresponding to the associated data as a target sub-text according to the data tag and the text tag, constructing a target filling area corresponding to the target sub-text, and filling the associated data into the target filling area based on an associated template to obtain a summarized text;
acquiring text positions of the associated data in the summarized text, and generating a data structure corresponding to the associated data according to the corresponding relation between the text positions and the target sub-text, wherein the data structure is in a structure tree form;
and generating a chain preview path corresponding to the summarized text and the data structure based on a preset path generation strategy, and generating online compliance preview information of the access terminal based on the access right of the access terminal and the chain preview path after judging that any access terminal has access requirements on the summarized text.
Optionally, in one possible implementation manner of the first aspect, receiving a basic text, calling corresponding preset splitting information according to a text attribute of the basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts, and text labels corresponding to the split sub-texts, where the steps include:
analyzing the preset splitting information to obtain a plurality of preset labels, traversing the basic text based on keywords corresponding to the preset labels, and obtaining splitting lines of the keywords in the basic text;
acquiring the upper edge line of each split line, and splitting the basic text according to the upper edge line corresponding to the adjacent split line to obtain a plurality of split sub-texts;
and extracting keywords corresponding to each split sub-text, and determining a preset label corresponding to the keywords as a text label corresponding to the corresponding split sub-text.
Optionally, in a possible implementation manner of the first aspect, the association database is constructed by the following steps, including:
receiving the associated data uploaded by each access terminal in real time, and adding a corresponding text body for each associated data according to the body information corresponding to the access terminal;
Traversing keywords of the associated data to obtain preset labels corresponding to the keywords of the associated data as data labels corresponding to the associated data;
and transmitting the associated data with the data tag to an associated database.
Optionally, in one possible implementation manner of the first aspect, determining, according to the data tag and the text tag, a split sub-text corresponding to the association data as a target sub-text, constructing a target filling area corresponding to the target sub-text, and filling the association data into the target filling area based on an association template to obtain a summary text, including:
determining a split sub-text corresponding to the associated data as a target sub-text according to the data tag and the text tag;
constructing a target filling area corresponding to the target sub-text based on a region construction strategy;
and acquiring the association attribute of the association data, calling a corresponding association template according to the association attribute, filling the association template into the target filling area, and filling the association data into the association template to obtain a summary text.
Optionally, in a possible implementation manner of the first aspect, constructing, based on a region construction policy, a target filling area corresponding to the target sub-text includes:
Calling a corresponding preset filling area based on a label attribute corresponding to a text label of the target sub-text, and acquiring the last line of data of the target sub-text as an insertion line;
if the corresponding association template does not exist below the insertion line, inserting a preset filling area below the insertion line to obtain a target filling area corresponding to a target sub-text;
if a corresponding association template exists below the insertion line, inserting the preset filling area below the last association template in the corresponding association templates to obtain a target filling area corresponding to the target sub-text.
Optionally, in one possible implementation manner of the first aspect, acquiring an association attribute of the association data, calling a corresponding association template according to the association attribute to fill the association template into the target filling area, and filling the association data into the association template to obtain summarized text, including:
determining the association data with the association attribute being a combination attribute as combination data, and the association data with the association attribute being a single attribute as single data;
according to the combination attribute, a combination template is called to be filled into the target filling area, and the combination data is filled into the combination template to obtain combination filling information;
According to the single attribute, a single template is called to be filled into the target filling area, the single data is filled into the single template, single filling information is obtained, and the associated template comprises a combined template and a single template;
and updating the basic text based on the combined filling information and/or the single filling information to obtain a summary text.
Optionally, in one possible implementation manner of the first aspect, invoking a combination template to fill into the target filling area according to the combination attribute, and filling the combination data into the combination template to obtain combination filling information, including:
acquiring a plurality of first images corresponding to the combined data, deleting the filling slots in the combined template according to the total number of the first images until the number of the filling slots is equal to the total number of the images, and stopping deleting the filling slots;
the combined template comprises a plurality of filling slots which are transversely arranged;
adjusting the pruned combined template based on the first image to obtain a combined adjustment template;
deleting blank rows except the combination adjustment template in the target filling area;
And filling each first image into a corresponding filling slot in the combined template to obtain combined filling information.
Optionally, in a possible implementation manner of the first aspect, adjusting the pruned combined template based on the first image to obtain a combined adjustment template includes:
acquiring the image vertical length of each first image, and determining the maximum image vertical length as an adjustment length;
and adjusting the vertical length of the template of the combined template according to the adjustment length to obtain the combined adjustment template.
Optionally, in one possible implementation manner of the first aspect, invoking a single template to fill into the target filling area according to the single attribute, and filling the single data into the single template to obtain single filling information, including:
acquiring a second image corresponding to the single data, and adjusting the vertical length of the template of the single template according to the vertical length of the image of the second image to obtain a single adjustment template;
deleting blank rows except the single adjustment template in the target filling area;
and filling the second image into the filling slot of the single template to obtain single filling information.
Optionally, in one possible implementation manner of the first aspect, a text position of each associated data in the summarized text is obtained, and a data structure corresponding to each associated data is generated according to a corresponding relationship between the text position and a target sub-text, where the data structure is in a structure tree form, and includes:
acquiring page number information of each associated data in the summarized text, and determining the text position of the associated data in the summarized text according to the page number information;
binding text positions and data labels corresponding to the associated data, and generating a data structure corresponding to the associated data according to the text positions and the data labels, wherein the data structure is in a structure tree form;
the parent node of the structure tree corresponds to the summarized text, the child nodes of the structure tree correspond to the target child text, and the grandchild nodes of the structure tree correspond to the associated data.
Optionally, in a possible implementation manner of the first aspect, generating the chained preview path corresponding to the summarized text and the data structure based on a preset path generation policy includes:
generating a main preview node corresponding to each target sub-text, and connecting all the main preview nodes according to the position relation of all the target sub-texts in the summarized text to obtain a main path in a corresponding chain preview path;
Traversing grandnodes which are directly connected with child nodes corresponding to target child texts in a data structure as target grandnodes, generating slave preview nodes corresponding to the counted target grandnodes, and connecting each slave preview node with a master preview node of the corresponding target child text;
and generating viewing rights for each master preview node and each slave preview node according to the pre-configured rights data.
Optionally, in one possible implementation manner of the first aspect, after determining that any access terminal has an access requirement for the summarized text, generating online compliance preview information of the access terminal based on an access right of the access terminal and a chain preview path includes:
determining corresponding master preview nodes and slave preview nodes in a chain preview path as accessible first master preview nodes and first slave preview nodes according to the access rights;
setting a first master preview node and a first slave preview node in the chain preview path to be selectable, and setting a non-first master preview node and a non-first slave preview node to be non-selectable, so as to obtain a first chain preview path corresponding to the access terminal;
and processing the summarized text and the data structure based on the first chain preview path to generate online compliance preview information of the access terminal.
Optionally, in a possible implementation manner of the first aspect, processing the summarized text and the data structure based on the first chained preview path to obtain online compliance preview information of the generating access terminal includes:
copying the summarized text and the data structure to obtain a temporary summarized text and a temporary data structure;
determining that a target sub-text corresponding to the temporary summarized text is deleted by a non-first main preview node in the first chain preview path, and determining that a grandchild node of a temporary data structure corresponding to the non-first sub-preview node in the first chain preview path is deleted;
generating online compliance preview information of an access terminal from the processed temporary summarized text and the temporary data structure, determining a first main preview node corresponding to the temporary summarized text and the temporary data structure, and adding a corresponding signature area image;
and based on interaction of the signature area image and the access terminal, obtaining the compliance signature of the access terminal on the corresponding first master preview node and the first slave preview node.
In a second aspect of an embodiment of the present invention, there is provided an enterprise compliance data processing platform, including:
the splitting module is used for receiving the basic text, calling corresponding preset splitting information according to the text attribute of the basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts and text labels corresponding to the split sub-texts;
The extraction module is used for acquiring a text main body of the basic text, extracting corresponding associated data in an associated database according to the text main body and a data tag corresponding to the associated data;
the summarizing module is used for determining split sub-texts corresponding to the associated data as target sub-texts according to the data tags and the text tags, constructing a target filling area corresponding to the target sub-texts, and filling the associated data into the target filling area based on an associated template to obtain summarized texts;
the structure module is used for acquiring the text position of each associated data in the summarized text, and generating a data structure corresponding to each associated data according to the corresponding relation between the text position and the target sub-text, wherein the data structure is in a structure tree form;
and the preview module is used for generating a chain preview path corresponding to the summarized text and the data structure based on a preset path generation strategy, and generating online compliance preview information of the access terminal based on the access authority of the access terminal and the chain preview path after judging that any access terminal has access requirements on the summarized text. In a third aspect of an embodiment of the present invention, there is provided an electronic device including: a memory, a processor and a computer program stored in the memory, the processor running the computer program to perform the first aspect of the invention and the methods that the first aspect may relate to.
In a fourth aspect of embodiments of the present invention, there is provided a readable storage medium having stored therein a computer program for implementing the method of the first aspect and the various possible aspects of the first aspect when executed by a processor.
The beneficial effects of the invention are as follows:
1. the invention can collect and manage the contract data, and improves the management efficiency of the user on the contract data. When summarizing the contract data, the basic text is firstly split into a plurality of split sub-texts, and then the associated data corresponding to the text main body is extracted from the associated database and inserted into the corresponding position of the corresponding split sub-text, so that the associated data can be summarized to the corresponding position in the basic text, the associated data corresponding to the basic text can be integrated into the basic text to obtain the summarized text, and the efficiency of a user in checking the contract data is improved through the summarized text. And the invention also generates a data structure corresponding to the associated data according to the text position of each associated data in the summarized text, thereby rapidly positioning the specific position of each associated data in the summarized text through the data structure and improving the efficiency of a user in checking the data.
2. When the associated data are inserted into the corresponding positions of the basic texts, the method and the device can firstly determine the target sub-texts corresponding to the associated data, then fill the associated data into the target filling areas corresponding to the target sub-texts to obtain the summarized texts, so that the associated data can be corresponding to the corresponding target sub-texts, and the target sub-texts and the associated data corresponding to the target sub-texts can be checked together when a user checks the contract texts. According to the method and the system for filling the related data in the basic text, when the related data is filled in the target filling area, different related templates are called according to different attributes of the related data, the related data is filled in the target filling area and then is filled in the related templates, so that the related data can be filled in different modes through the different related templates.
3. The data structure generated by the invention corresponds each associated data and the page number information thereof in the summarized text, so that the specific position of the associated data in the summarized text can be rapidly positioned, and the efficiency of a user in checking the data is improved. The invention also generates online compliance preview information according to the access rights of each access terminal, thereby being capable of rapidly extracting the text data corresponding to each access terminal in the summarized text and improving the efficiency of previewing the data of the access terminal.
Drawings
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an enterprise compliance data processing platform according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an application scenario is schematically shown in the embodiment of the present application. According to the scheme, the basic texts are split to obtain a plurality of split sub-texts, in practical application, the basic texts can correspond to signed contract texts, each basic text has a corresponding text body, for example, a body A and a body B sign corresponding contract texts, and then the text bodies can be the body A and the body B. After the basic text is split, the scheme extracts the associated data corresponding to the text main body from the associated database, and then inserts the associated data into the corresponding split sub-text, so that the summary text obtained by summarizing a plurality of contract data is sent to a user for data checking, and the efficiency of the user for checking the contract data is improved.
The execution body of the present application may include, but is not limited to, at least one of: user equipment, network equipment, etc. The user equipment may include, but is not limited to, computers, smart phones, personal digital assistants (Personal Digital Assistant, abbreviated as PDA), and the above-mentioned electronic devices. The network device may include, but is not limited to, a single network server, a server group of multiple network servers, or a cloud of a large number of computers or network servers based on cloud computing, where cloud computing is one of distributed computing, and a super virtual computer consisting of a group of loosely coupled computers. This embodiment is not limited thereto. The embodiment includes steps S1 to S5, which are specifically as follows:
S1, receiving a basic text, calling corresponding preset splitting information according to text attributes of the basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts and text labels corresponding to the split sub-texts.
In actual practice, the underlying text may be contract text. It can be understood that the text attributes of the contract text may be quite different, for example, the contents of the leasing contract, the buying and selling contract and the like may be quite different, so that when the basic text is split, the preset splitting information corresponding to the basic text may be quite different, and the basic text may be split according to the preset splitting information.
The specific implementation manner of step S1 based on the above embodiment may be:
s11, analyzing the preset splitting information to obtain a plurality of preset labels, traversing the basic text based on keywords corresponding to the preset labels, and obtaining splitting lines of the keywords in the basic text.
In practical application, the preset label may be set according to the text attribute, which may correspond to the theme of each term in the contract, so that the paragraphs corresponding to the terms in the contract text may be split according to the preset label, for example, for a rental contract, the preset label corresponding to the rental contract may be a rental article, a rental amount, or the like.
When traversing the basic text according to the keywords corresponding to the preset labels, the basic text can be correspondingly traversed by a character recognition technology in the prior art, for example, an OCR technology can be adopted to correspondingly traverse the basic text.
S12, obtaining upper edge lines of the splitting lines, and splitting the basic text according to the upper edge lines corresponding to the adjacent splitting lines to obtain a plurality of splitting sub-texts.
In some embodiments, when determining the upper edge line of the split line, the split line may be coordinated, then the maximum y-axis coordinate value of all the text coordinates corresponding to the split line is obtained, a reference line parallel to the x-axis is generated through the maximum y-axis coordinate value, and then the reference line is shifted upwards by a preset distance to obtain the upper edge line. Or the upper part of each split row is directly provided with a corresponding preset upper edge line, and then the upper edge line is directly obtained.
S13, extracting keywords corresponding to the split sub-texts, and determining preset labels corresponding to the keywords as text labels corresponding to the corresponding split sub-texts.
Through the method, the basic text can be split in a targeted mode according to the text attribute, so that corresponding associated data can be inserted into a plurality of split molecular texts after splitting, and the summarization of the associated data can be completed.
S2, acquiring a text body of the basic text, and extracting corresponding associated data in an associated database and a data tag corresponding to the associated data according to the text body.
The text body refers to a signing body of the contract text. It will be appreciated that the text bodies of the basic texts are different, and the corresponding associated data may be different, for example, the basic texts are purchase and sale contracts, and the main bodies are main body a and main body B, so that when the associated data of a payment bill, an invoice and the like at the time of payment are acquired, the associated data related to the main body a and the main body B are also acquired, and if the associated data corresponding to other main bodies are acquired, the associated data may not correspond to the basic texts.
In some embodiments, the association database may be obtained by:
s21, receiving the associated data uploaded by each access terminal in real time, and adding corresponding text bodies to each associated data according to the body information corresponding to the access terminal.
For example, if the subject information corresponding to the access terminal is subject a, the text subject corresponding to the corresponding associated data may be set as subject a.
S22, traversing the keywords of the associated data to obtain preset labels corresponding to the keywords of the associated data as data labels corresponding to the associated data.
It can be understood that the associated data is generally data associated with the basic text, and the corresponding data tag also corresponds to the text tag corresponding to the basic text, so that the data tag of the associated data can be obtained through a preset tag when the data tag is obtained.
S23, transmitting the associated data with the data tag to an associated database.
After the association database is obtained in the mode, the association data corresponding to different text main bodies can be extracted through the association database, so that the corresponding association data can be summarized to corresponding positions in the basic text later.
S3, determining the split sub-text corresponding to the associated data as a target sub-text according to the data tag and the text tag, constructing a target filling area corresponding to the target sub-text, and filling the associated data into the target filling area based on an associated template to obtain a summary text.
It can be understood that the data labels corresponding to the associated data are different, and the split sub-text corresponding to the associated data may be different, so that when the associated data is inserted, the scheme can firstly determine the split sub-text corresponding to the associated data as a target sub-text according to the data labels and the text labels, and then insert the associated data to the corresponding position in the basic text according to the target sub-text to obtain the summarized text.
The specific implementation manner of step S3 based on the above embodiment may be:
s31, determining the split sub-text corresponding to the associated data as a target sub-text according to the data tag and the text tag.
When the target sub-text corresponding to the associated data is determined, the split sub-text corresponding to the text label corresponding to the data label can be used as the target sub-text corresponding to the corresponding associated data.
S32, constructing a target filling area corresponding to the target sub-text based on the region construction strategy.
In some embodiments, the above-described target fill region may be constructed by:
s321, calling a corresponding preset filling area based on a label attribute corresponding to the text label of the target sub-text, and acquiring the last line of data of the target sub-text as an insertion line.
In practical application, different preset labels can correspond to different label attributes, corresponding preset filling areas can be constructed through the different label attributes, for example, when the preset labels correspond to payment bill data or transportation bill data, the set label attributes can be related to the payment bill data or the transportation bill data, and the preset filling areas set for the payment bill data and the transportation bill data can be different because the image data corresponding to the payment bill data and the transportation bill data are different.
When a worker sets the preset filling area, the preset line number of the preset filling area can be set to be the maximum line number capable of filling corresponding data, so that all corresponding data can be filled in through the preset filling area in the follow-up process.
In order to facilitate convenience when a user browses associated data corresponding to a target sub-text, the scheme inserts the corresponding associated data below the corresponding target sub-text, so that the last line of data of the target sub-text can be used as an insertion line, and the insertion of the associated data can be completed subsequently through the insertion line.
S322, if the corresponding association template does not exist below the insertion line, inserting a preset filling area below the insertion line to obtain a target filling area corresponding to the target sub-text.
The corresponding association templates are the association templates positioned below the insertion row and adjacent to the insertion row. It should be noted that, adjacent refers to direct adjacent and indirect adjacent, when there are 1 adjacent association templates, the adjacent association templates are directly used as the corresponding association templates; when there are a plurality of adjacent correlation templates, indirect adjacency is involved, for example, there are 3 correlation templates, and then the 3 correlation templates are all the corresponding correlation templates.
It can be understood that if the corresponding association template does not exist under the insertion line, it is indicated that no corresponding association data is inserted under the insertion line, so that the preset filling area can be inserted under the insertion line to obtain the target filling area corresponding to the target sub-text.
S323, if a corresponding association template exists below the insertion line, inserting the preset filling area below the last association template in the corresponding association templates to obtain a target filling area corresponding to the target sub-text.
If a corresponding association template exists below the insertion line, it is indicated that corresponding association data is already inserted below the insertion line, so that when new association data is inserted, a corresponding preset filling area can be inserted below the last association template in the corresponding association template, and a target filling area corresponding to the target sub-text is obtained.
S33, acquiring the association attribute of the association data, calling a corresponding association template according to the association attribute, filling the association template into the target filling area, and filling the association data into the association template to obtain a summary text.
It will be appreciated that in practical applications, there may be a plurality of associated data, and the associated attributes corresponding to each associated data may be different, and in this embodiment the associated attributes include a combined attribute and a single attribute, for example, the payment receipt and invoice are generally associated before, so that data with a strong association may be put together as associated data, and the attribute of the associated data is set as a combined attribute, whereas for a shipping receipt, such data is generally single, and therefore the attribute of such associated data may be set as a single attribute.
Because the correlation attributes are different, the corresponding correlation data are also different, and the corresponding correlation templates can also be different, so that the corresponding correlation data can be correspondingly filled in the target filling area through the corresponding correlation templates, and the summarized text is obtained.
Specifically, step S33 may be implemented through steps S331 to S334, which are specifically as follows:
s331, determining the association data with the association attribute being a combination attribute as combination data, and determining the association data with the association attribute being a single attribute as single data.
S332, according to the combination attribute, a combination template is called to be filled into the target filling area, and the combination data is filled into the combination template, so that combination filling information is obtained.
In some embodiments, the above combined padding information may be obtained by:
s3321, obtaining a plurality of first images corresponding to the combined data, and deleting the filling slots in the combined template according to the total number of the first images until the number of the filling slots is equal to the total number of the images, and stopping deleting the filling slots.
The combined template comprises a plurality of filling slots which are transversely arranged.
It should be noted that the filling slots in this solution are generally more, and it can be understood that, because the number of the inserted combined data is limited and not too many, in order to insert all the combined data, the solution sets more filling slots, and then the filling slots are pruned by the number of the first images corresponding to the combined data.
For example, if there are 10 filling slots and 3 first images, the present solution would prune the filling slots to 3 for the corresponding filling of the first images.
S3322, adjusting the pruned combined templates based on the first image to obtain a combined adjustment template.
Specifically, the combined template can be adjusted by the following steps:
and acquiring the image vertical length of each first image, and determining the maximum image vertical length as an adjustment length.
It will be appreciated that in practical applications, the image vertical lengths of the plurality of first images may all be different, so that in order to be able to fill the first images into the combined template, the maximum image vertical length may be determined as the adjustment length, and then the combined template is adjusted accordingly by the adjustment length.
And adjusting the vertical length of the template of the combined template according to the adjustment length to obtain the combined adjustment template.
By the mode, the combined template can be adaptively adjusted according to the first image, so that the first image can be matched with the combined template.
S3323, deleting blank lines except the combination adjustment template in the target filling area.
It will be appreciated that, because the target filling area may be set relatively large, there may be many blank rows after the combination adjustment template is placed in the target filling area, so in order to enable the user to browse more associated data, blank rows in the target filling area except for the combination adjustment template may be deleted, so that redundant blank data may be removed.
S3324, filling each first image into a corresponding filling slot in the combined template to obtain combined filling information.
When the first image is filled into the corresponding filling slot in the combined template, the center point of the first image can be positioned based on the center point of the filling slot, and then the first image is filled into the corresponding filling slot to obtain combined filling information.
S333, a single template is called according to the single attribute to be filled into the target filling area, the single data is filled into the single template, single filling information is obtained, and the associated template comprises a combined template and a single template.
In some embodiments, the above single pad information may be obtained by:
s3331, obtaining a second image corresponding to the single data, and adjusting the template vertical length of the single template according to the image vertical length of the second image to obtain a single adjustment template.
It will be appreciated that the second images corresponding to each single data may also be different, so that after the second images are obtained, the vertical length of the template of the single template may be adjusted by the vertical length of the image of the second image, so as to obtain a single adjustment template, so that the single adjustment template may be adapted to the corresponding second image.
S3332, deleting blank lines except the single adjustment template in the target filling area.
Similarly, after the single adjustment template is obtained, blank rows except for the single adjustment template in the target filling area can be deleted, so that redundant blank data can be removed.
S3333, filling the second image into the filling slot of the single template to obtain single filling information.
The manner of filling the second image into the filling slot of the single template may be the same as the manner of filling the first image into the corresponding filling slot of the combined template, which is not described herein.
And S334, updating the basic text based on the combined filling information and/or the single filling information to obtain a summary text.
By the method, the associated data can be summarized to the corresponding position in the basic text, so that the associated data corresponding to the basic text can be integrated into the basic text, and the efficiency of a user in checking contract data is improved.
S4, acquiring text positions of the associated data in the summarized text, and generating a data structure corresponding to the associated data according to the corresponding relation between the text positions and the target sub-text, wherein the data structure is in a structure tree form.
It can be understood that, because the insertion positions of the associated data in the summarized text are different, the text positions of the associated data in the summarized text may also be different, so that in order to quickly find the specific positions of the associated data in the summarized text, the efficiency of a user in checking the data is improved, and the scheme also generates a corresponding data structure and sends the corresponding data structure to the access terminal, so that the specific positions of the associated data in the summarized text can be quickly positioned through the data structure.
The specific implementation manner of step S4 based on the above embodiment may be:
s41, acquiring page number information of each associated data in the summarized text, and determining the text position of the associated data in the summarized text according to the page number information.
When determining the text position of the associated data, the text position of the associated data can be determined by the page number information of the associated data, for example, if the associated data is on page 6, the corresponding text position of the associated data can be set to page 6 correspondingly.
S42, binding the text position and the data label corresponding to each associated data, and generating a data structure corresponding to each associated data according to the text position and the data label, wherein the data structure is in a structure tree form.
S43, parent nodes of the structure tree correspond to the summarized text, child nodes of the structure tree correspond to the target child text, and grandchild nodes of the structure tree correspond to the associated data.
In practical application, the data structure can be generated through the structure tree form, so that each data tag and the page number information corresponding to the data tag can be obtained through the data structure, and further, associated data corresponding to the data tag can be quickly locked through the page number information corresponding to the data tag, and the efficiency of associated data retrieval is improved.
And S5, generating a chain preview path corresponding to the summarized text and the data structure based on a preset path generation strategy, and generating online compliance preview information of the access terminal based on the access right of the access terminal and the chain preview path after judging that any access terminal has access requirements on the summarized text.
It can be understood that in practical application, the text data that each access terminal can access may be different, so after judging that any access terminal has an access requirement on the summarized text, the scheme also generates online compliance preview information of the access terminal according to the access authority and the chain preview path of the access terminal, so that the access terminal can preview the text data corresponding to the access terminal.
The specific implementation manner of "generating the chain preview path corresponding to the summary text and the data structure based on the preset path generation policy" in step S5 may be:
and S51, generating a main preview node corresponding to each target sub-text, and connecting all the main preview nodes according to the position relation of all the target sub-texts in the summarized text to obtain a main path in the corresponding chain preview path.
The position relation of the target sub-text in the summarized text refers to the page number position of the target sub-text in the summarized text. When a plurality of main preview nodes are connected, each main preview node can be connected from small to large.
S52, traversing the grandchild nodes which are directly connected with the child nodes corresponding to the target child text in the data structure as target grandchild nodes, generating slave preview nodes corresponding to the counted target grandchild nodes, and connecting each slave preview node with a master preview node of the corresponding target child text.
It may be understood that, the grandchild nodes directly connected to the child node corresponding to the target child text in the data structure refer to associated data corresponding to the target child text, and in practical application, there may be multiple associated data, so that there may be multiple target grandchild nodes, and in order to quickly lock the associated data corresponding to each target child text, a slave preview node corresponding to the target grandchild node may be generated, and then the slave preview node is connected to the corresponding master preview node.
And S53, generating the viewing authority of each master preview node and each slave preview node according to the preconfigured authority data.
It can be appreciated that the access rights corresponding to each access terminal may be different, so that in order to quickly generate preview data corresponding to different access terminals later, viewing rights for each master preview node and each slave preview node may be generated according to preset rights data.
On the basis of the above embodiment, the specific implementation manner of "generating the online compliance preview information of the access terminal based on the access right and the chain preview path of the access terminal after determining that any access terminal has the access requirement on the summarized text" in step S5 may be:
and S54, determining corresponding master preview nodes and slave preview nodes in the chain preview path as accessible first master preview nodes and first slave preview nodes according to the access rights.
It can be understood that, because each node in the chain preview path is preset with a corresponding viewing authority, after the access authority is obtained, the corresponding master preview node and the slave preview node in the chain preview path can be determined as the accessible first master preview node and the first slave preview node according to the access authority.
S55, setting a first master preview node and a first slave preview node in the chain preview path to be selectable, and setting a non-first master preview node and a non-first slave preview node to be non-selectable, so as to obtain a first chain preview path corresponding to the access terminal.
It will be appreciated that since the non-first master preview node and the non-first slave preview node are nodes that cannot be viewed by the respective access terminals, they may be set to be non-selectable, and then the first master preview node and the first slave preview node may be set to be selectable.
S56, processing the summarized text and the data structure based on the first chain preview path to generate online compliance preview information of the access terminal.
Specifically, step S56 may be implemented through steps S561 to S563, which are specifically as follows:
and S561, copying the summarized text and the data structure to obtain a temporary summarized text and a temporary data structure.
S56, determining that the non-first main preview node in the first chain preview path performs deletion processing on the target sub-text corresponding to the temporary summarized text, and determining that the non-first sub-preview node in the first chain preview path performs deletion processing on the grandchild node of the temporary data structure corresponding to the non-first sub-preview node.
It can be understood that, since the non-first master preview node and the non-first slave preview node are nodes which cannot be viewed by the access terminal, the text data corresponding to the non-first master preview node and the non-first slave preview node are data which cannot be viewed by the access terminal, and therefore the corresponding data corresponding to the non-first master preview node and the non-first slave preview node can be deleted.
S562, generating online compliance preview information of the access terminal from the processed temporary summary text and the temporary data structure, determining a first main preview node corresponding to the temporary summary text and the temporary data structure, and adding a corresponding signature area image.
It can be understood that the signature area image corresponding to the first main preview node is added so that the corresponding access terminal can sign after checking the data, and thus the corresponding access terminal can be traced back when the corresponding data has a problem.
S563, based on interaction of the signature area image and the access terminal, obtaining compliance signatures of the access terminal to the corresponding first master preview node and the first slave preview node.
By the method, the online compliance preview information corresponding to the access terminal can be obtained rapidly, efficiency of the access terminal in previewing the text data is improved, the access terminal corresponding to the text data can be traced, and compliance of the text data is improved.
Referring to fig. 2, a schematic structural diagram of an enterprise compliance data processing platform according to an embodiment of the present invention includes:
the splitting module is used for receiving the basic text, calling corresponding preset splitting information according to the text attribute of the basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts and text labels corresponding to the split sub-texts;
The extraction module is used for acquiring a text main body of the basic text, extracting corresponding associated data in an associated database according to the text main body and a data tag corresponding to the associated data;
the summarizing module is used for determining split sub-texts corresponding to the associated data as target sub-texts according to the data tags and the text tags, constructing a target filling area corresponding to the target sub-texts, and filling the associated data into the target filling area based on an associated template to obtain summarized texts;
the structure module is used for acquiring the text position of each associated data in the summarized text, and generating a data structure corresponding to each associated data according to the corresponding relation between the text position and the target sub-text, wherein the data structure is in a structure tree form;
and the preview module is used for generating a chain preview path corresponding to the summarized text and the data structure based on a preset path generation strategy, and generating online compliance preview information of the access terminal based on the access authority of the access terminal and the chain preview path after judging that any access terminal has access requirements on the summarized text.
The invention also provides an electronic device, comprising: a processor, a memory and a computer program; the memory is used for storing the computer program, and the memory can also be a flash memory (flash). Such as application programs, functional modules, etc. implementing the methods described above.
And the processor is used for executing the computer program stored in the memory to realize each step executed by the equipment in the method. Reference may be made in particular to the description of the embodiments of the method described above.
In the alternative, the memory may be separate or integrated with the processor.
When the memory is a device separate from the processor, the apparatus may further include:
and the bus is used for connecting the memory and the processor.
The present invention also provides a readable storage medium having stored therein a computer program for implementing the methods provided by the various embodiments described above when executed by a processor.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media can be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). In addition, the ASIC may reside in a user device. The processor and the readable storage medium may reside as discrete components in a communication device. The readable storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tape, floppy disk, optical data storage device, etc.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, the execution instructions being executed by the at least one processor to cause the device to implement the methods provided by the various embodiments described above.
In the above embodiment of the apparatus, it should be understood that the processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (16)
1. The enterprise compliance data processing method is characterized by comprising the following steps:
receiving a basic text, calling corresponding preset splitting information according to text attributes of the basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts and text labels corresponding to the split sub-texts;
acquiring a text main body of the basic text, and extracting corresponding associated data in an associated database and a data tag corresponding to the associated data according to the text main body;
determining a split sub-text corresponding to the associated data as a target sub-text according to the data tag and the text tag, constructing a target filling area corresponding to the target sub-text, and filling the associated data into the target filling area based on an associated template to obtain a summarized text;
acquiring text positions of the associated data in the summarized text, and generating a data structure corresponding to the associated data according to the corresponding relation between the text positions and the target sub-text, wherein the data structure is in a structure tree form;
and generating a chain preview path corresponding to the summarized text and the data structure based on a preset path generation strategy, and generating online compliance preview information of the access terminal based on the access right of the access terminal and the chain preview path after judging that any access terminal has access requirements on the summarized text.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
receiving a basic text, calling corresponding preset splitting information according to text attributes of the basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts and text labels corresponding to the split sub-texts, and comprising the following steps:
analyzing the preset splitting information to obtain a plurality of preset labels, traversing the basic text based on keywords corresponding to the preset labels, and obtaining splitting lines of the keywords in the basic text;
acquiring the upper edge line of each split line, and splitting the basic text according to the upper edge line corresponding to the adjacent split line to obtain a plurality of split sub-texts;
and extracting keywords corresponding to each split sub-text, and determining a preset label corresponding to the keywords as a text label corresponding to the corresponding split sub-text.
3. The method of claim 2, wherein the step of determining the position of the substrate comprises,
the association database is constructed by the following steps:
receiving the associated data uploaded by each access terminal in real time, and adding a corresponding text body for each associated data according to the body information corresponding to the access terminal;
Traversing keywords of the associated data to obtain preset labels corresponding to the keywords of the associated data as data labels corresponding to the associated data;
and transmitting the associated data with the data tag to an associated database.
4. The method of claim 3, wherein the step of,
determining the split sub-text corresponding to the associated data as a target sub-text according to the data tag and the text tag, constructing a target filling area corresponding to the target sub-text, filling the associated data into the target filling area based on an associated template to obtain a summarized text, and comprising the following steps:
determining a split sub-text corresponding to the associated data as a target sub-text according to the data tag and the text tag;
constructing a target filling area corresponding to the target sub-text based on a region construction strategy;
and acquiring the association attribute of the association data, calling a corresponding association template according to the association attribute, filling the association template into the target filling area, and filling the association data into the association template to obtain a summary text.
5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
constructing a target filling area corresponding to the target sub-text based on a region construction strategy, including:
Calling a corresponding preset filling area based on a label attribute corresponding to a text label of the target sub-text, and acquiring the last line of data of the target sub-text as an insertion line;
if the corresponding association template does not exist below the insertion line, inserting a preset filling area below the insertion line to obtain a target filling area corresponding to a target sub-text;
if a corresponding association template exists below the insertion line, inserting the preset filling area below the last association template in the corresponding association templates to obtain a target filling area corresponding to the target sub-text.
6. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
acquiring the association attribute of the association data, calling a corresponding association template according to the association attribute to fill the association template into the target filling area, and filling the association data into the association template to obtain summarized text, wherein the method comprises the following steps:
determining the association data with the association attribute being a combination attribute as combination data, and the association data with the association attribute being a single attribute as single data;
according to the combination attribute, a combination template is called to be filled into the target filling area, and the combination data is filled into the combination template to obtain combination filling information;
According to the single attribute, a single template is called to be filled into the target filling area, the single data is filled into the single template, single filling information is obtained, and the associated template comprises a combined template and a single template;
and updating the basic text based on the combined filling information and/or the single filling information to obtain a summary text.
7. The method of claim 6, wherein the step of providing the first layer comprises,
and according to the combination attribute, calling a combination template to fill the target filling area, and filling the combination data into the combination template to obtain combination filling information, wherein the method comprises the following steps:
acquiring a plurality of first images corresponding to the combined data, deleting the filling slots in the combined template according to the total number of the first images until the number of the filling slots is equal to the total number of the images, and stopping deleting the filling slots;
the combined template comprises a plurality of filling slots which are transversely arranged;
adjusting the pruned combined template based on the first image to obtain a combined adjustment template;
deleting blank rows except the combination adjustment template in the target filling area;
And filling each first image into a corresponding filling slot in the combined template to obtain combined filling information.
8. The method of claim 7, wherein the step of determining the position of the probe is performed,
adjusting the pruned combined template based on the first image to obtain a combined adjustment template, including:
acquiring the image vertical length of each first image, and determining the maximum image vertical length as an adjustment length;
and adjusting the vertical length of the template of the combined template according to the adjustment length to obtain the combined adjustment template.
9. The method of claim 6, wherein the step of providing the first layer comprises,
and according to the single attribute, calling a single template to fill in the target filling area, and filling the single data into the single template to obtain single filling information, wherein the single filling information comprises the following steps:
acquiring a second image corresponding to the single data, and adjusting the vertical length of the template of the single template according to the vertical length of the image of the second image to obtain a single adjustment template;
deleting blank rows except the single adjustment template in the target filling area;
and filling the second image into the filling slot of the single template to obtain single filling information.
10. The method of claim 1, wherein the step of determining the position of the substrate comprises,
acquiring text positions of the associated data in the summarized text, and generating a data structure corresponding to the associated data according to the corresponding relation between the text positions and the target sub-text, wherein the data structure is in a structure tree form and comprises:
acquiring page number information of each associated data in the summarized text, and determining the text position of the associated data in the summarized text according to the page number information;
binding text positions and data labels corresponding to the associated data, and generating a data structure corresponding to the associated data according to the text positions and the data labels, wherein the data structure is in a structure tree form;
the parent node of the structure tree corresponds to the summarized text, the child nodes of the structure tree correspond to the target child text, and the grandchild nodes of the structure tree correspond to the associated data.
11. The method of claim 10, wherein the step of determining the position of the first electrode is performed,
generating a chain preview path corresponding to the summarized text and the data structure based on a preset path generation strategy, wherein the chain preview path comprises the following steps:
generating a main preview node corresponding to each target sub-text, and connecting all the main preview nodes according to the position relation of all the target sub-texts in the summarized text to obtain a main path in a corresponding chain preview path;
Traversing grandnodes which are directly connected with child nodes corresponding to target child texts in a data structure as target grandnodes, generating slave preview nodes corresponding to the counted target grandnodes, and connecting each slave preview node with a master preview node of the corresponding target child text;
and generating viewing rights for each master preview node and each slave preview node according to the pre-configured rights data.
12. The method of claim 11, wherein the step of determining the position of the probe is performed,
after judging that any access terminal has access requirements on summarized texts, generating online compliance preview information of the access terminal based on access rights of the access terminal and a chain preview path, wherein the online compliance preview information comprises the following steps:
determining corresponding master preview nodes and slave preview nodes in a chain preview path as accessible first master preview nodes and first slave preview nodes according to the access rights;
setting a first master preview node and a non-first slave preview node in the chain preview path to be selectable, and setting the non-first master preview node and the first slave preview node to be non-selectable, so as to obtain a first chain preview path corresponding to the access terminal;
and processing the summarized text and the data structure based on the first chain preview path to generate online compliance preview information of the access terminal.
13. The method of claim 12, wherein the step of determining the position of the probe is performed,
processing the summarized text and the data structure based on the first chain preview path to obtain online compliance preview information of the generated access terminal, including:
copying the summarized text and the data structure to obtain a temporary summarized text and a temporary data structure;
determining that a target sub-text corresponding to the temporary summarized text is deleted by a non-first main preview node in the first chain preview path, and determining that a grandchild node of a temporary data structure corresponding to the non-first sub-preview node in the first chain preview path is deleted;
generating online compliance preview information of an access terminal from the processed temporary summarized text and the temporary data structure, determining a first main preview node corresponding to the temporary summarized text and the temporary data structure, and adding a corresponding signature area image;
and based on interaction of the signature area image and the access terminal, obtaining the compliance signature of the access terminal on the corresponding first master preview node and the first slave preview node.
14. The enterprise compliance data processing platform, its characterized in that includes:
the splitting module is used for receiving the basic text, calling corresponding preset splitting information according to the text attribute of the basic text, splitting the basic text based on the preset splitting information to obtain a plurality of split sub-texts and text labels corresponding to the split sub-texts;
The extraction module is used for acquiring a text main body of the basic text, extracting corresponding associated data in an associated database according to the text main body and a data tag corresponding to the associated data;
the summarizing module is used for determining split sub-texts corresponding to the associated data as target sub-texts according to the data tags and the text tags, constructing a target filling area corresponding to the target sub-texts, and filling the associated data into the target filling area based on an associated template to obtain summarized texts;
the structure module is used for acquiring the text position of each associated data in the summarized text, and generating a data structure corresponding to each associated data according to the corresponding relation between the text position and the target sub-text, wherein the data structure is in a structure tree form;
and the preview module is used for generating a chain preview path corresponding to the summarized text and the data structure based on a preset path generation strategy, and generating online compliance preview information of the access terminal based on the access authority of the access terminal and the chain preview path after judging that any access terminal has access requirements on the summarized text.
15. An electronic device, comprising: a memory, a processor and a computer program stored in the memory, the processor running the computer program to perform the method of any one of claims 1 to 13.
16. A readable storage medium, characterized in that the readable storage medium has stored therein a computer program for implementing the method of any of claims 1 to 13 when being executed by a processor.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130151936A1 (en) * | 2011-12-12 | 2013-06-13 | Microsoft Corporation | Page preview using contextual template metadata and labeling |
| US20150019569A1 (en) * | 2011-11-04 | 2015-01-15 | BigML, Inc. | Interactive visualization of big data sets and models including textual data |
| CN109815471A (en) * | 2019-01-04 | 2019-05-28 | 深圳壹账通智能科技有限公司 | Contract text generation method, device, computer equipment and storage medium |
| CN111125312A (en) * | 2019-12-24 | 2020-05-08 | 深圳视界信息技术有限公司 | Text labeling method and system |
| CN112329417A (en) * | 2020-10-30 | 2021-02-05 | 中国平安人寿保险股份有限公司 | Poster manufacturing method and device, computer equipment and storage medium |
| CN114580368A (en) * | 2022-03-22 | 2022-06-03 | 创意信息技术股份有限公司 | Intelligent report collection and load reduction method, device, terminal and storage medium |
| CN114691894A (en) * | 2022-05-30 | 2022-07-01 | 国网浙江省电力有限公司 | Paperless financial data management method for electronic information full-link knowledge graph |
| CN114841579A (en) * | 2022-05-10 | 2022-08-02 | 平安国际智慧城市科技股份有限公司 | Index data generation method, device, equipment and storage medium |
| CN115964476A (en) * | 2022-12-30 | 2023-04-14 | 安徽兆尹信息科技股份有限公司 | Intelligent key information extraction method for securitized product report |
| CN116340518A (en) * | 2023-03-29 | 2023-06-27 | 中国农业银行股份有限公司 | Text association matrix establishment method and device, electronic equipment and storage medium |
| CN116861014A (en) * | 2023-09-05 | 2023-10-10 | 联通在线信息科技有限公司 | Image information extraction method and device based on pre-training language model |
-
2023
- 2023-11-02 CN CN202311450145.7A patent/CN117194615B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150019569A1 (en) * | 2011-11-04 | 2015-01-15 | BigML, Inc. | Interactive visualization of big data sets and models including textual data |
| US20130151936A1 (en) * | 2011-12-12 | 2013-06-13 | Microsoft Corporation | Page preview using contextual template metadata and labeling |
| CN109815471A (en) * | 2019-01-04 | 2019-05-28 | 深圳壹账通智能科技有限公司 | Contract text generation method, device, computer equipment and storage medium |
| CN111125312A (en) * | 2019-12-24 | 2020-05-08 | 深圳视界信息技术有限公司 | Text labeling method and system |
| CN112329417A (en) * | 2020-10-30 | 2021-02-05 | 中国平安人寿保险股份有限公司 | Poster manufacturing method and device, computer equipment and storage medium |
| CN114580368A (en) * | 2022-03-22 | 2022-06-03 | 创意信息技术股份有限公司 | Intelligent report collection and load reduction method, device, terminal and storage medium |
| CN114841579A (en) * | 2022-05-10 | 2022-08-02 | 平安国际智慧城市科技股份有限公司 | Index data generation method, device, equipment and storage medium |
| CN114691894A (en) * | 2022-05-30 | 2022-07-01 | 国网浙江省电力有限公司 | Paperless financial data management method for electronic information full-link knowledge graph |
| CN115964476A (en) * | 2022-12-30 | 2023-04-14 | 安徽兆尹信息科技股份有限公司 | Intelligent key information extraction method for securitized product report |
| CN116340518A (en) * | 2023-03-29 | 2023-06-27 | 中国农业银行股份有限公司 | Text association matrix establishment method and device, electronic equipment and storage medium |
| CN116861014A (en) * | 2023-09-05 | 2023-10-10 | 联通在线信息科技有限公司 | Image information extraction method and device based on pre-training language model |
Non-Patent Citations (3)
| Title |
|---|
| "From the History of the Croatian Dermatovenereological Society - The Croatian Medical Association and an Overview of Important Information Regarding the Journal Acta Dermatovenerologica Croatica", ACTA DERMATOVENEROLOGICA CROATICA, pages 344 - 348 * |
| 徐晨维: "基于深度学习的长文本匹配研究", 中国优秀硕士学位论文全文数据库, pages 138 - 3444 * |
| 邵云鹏;陆志猛;: "基于Web的企业级报表管理系统的设计与实现", 装备制造技术, no. 03, pages 86 - 88 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117743615A (en) * | 2024-02-19 | 2024-03-22 | 精灵控(南京)智能科技有限公司 | Data processing method and processing platform based on natural language |
| CN117743615B (en) * | 2024-02-19 | 2024-04-16 | 精灵控(南京)智能科技有限公司 | Data processing method and processing platform based on natural language |
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