CN112199466A

CN112199466A - Method and device for identifying associated regulation of mail

Info

Publication number: CN112199466A
Application number: CN202010933454.XA
Authority: CN
Inventors: 王瑗; 梅金芳; 王欣悦; 许留中; 林晓绿
Original assignee: Shenzhen Valueonline Technology Co ltd
Current assignee: Shenzhen Valueonline Technology Co ltd
Priority date: 2020-09-08
Filing date: 2020-09-08
Publication date: 2021-01-08
Anticipated expiration: 2040-09-08
Also published as: CN112199466B

Abstract

The application is applicable to the technical field of computers, and provides a method and a device for identifying a related regulation of a mail, wherein the method comprises the following steps: extracting text contents which accord with a preset regulation text format from the supervision letter to be identified; respectively matching the extracted text content with a plurality of rules pre-stored in a rule base to determine whether matched target rules exist; and when the target regulation exists, determining the extracted text content to be the regulation associated with the supervisory letter. Therefore, the laws and regulations matched with the letters can be automatically identified and associated, the manual identification cost is saved, and the efficiency is also improved.

Description

Method and device for identifying associated regulation of mail

Technical Field

The application belongs to the technical field of financial text information processing, and particularly relates to a method and a device for identifying associated laws and regulations of letters.

Background

In order to ensure proper operation of the marketable economic entity, the portion of information that the marketable company must disclose, which is also a legal obligation that the relevant market entity needs to fulfill, is specifically designated by relevant legal regulations. The enterprise operation aims to gain economic benefit, wherein investors are important factors for obtaining economic benefit of the enterprise, and the psychological states of the investors are mostly influenced by the information content disclosed by the enterprise.

In order to maintain the market order and maintain the interests of the investors, the supervision layer carries out certain investigation and inquiry on the information disclosed by the listed companies in a mail mode. Therefore, the mail at the supervision level is generally concerned by the listed companies and the investors, and the regulations involved in the mail are more important to the listed companies and the investors.

However, the regulations involved in letters require manual identification and manual identification, and the complex screening process results in higher labor costs and inefficiencies.

Disclosure of Invention

In view of this, embodiments of the present application provide a method and an apparatus for identifying a rule associated with a mail, so as to at least solve the problems of high labor cost and low efficiency caused by manually screening rules in the mail in the prior art.

A first aspect of an embodiment of the present application provides a method for identifying a regulation associated with a mail, including: extracting text contents which accord with a preset regulation text format from the supervision letter to be identified; respectively matching the extracted text content with a plurality of rules pre-stored in a rule base to determine whether matched target rules exist; and when the target regulation exists, determining the extracted text content to be the regulation associated with the supervisory letter.

A second aspect of the embodiments of the present application provides an apparatus for identifying a regulation associated with a mail, including: the text content extraction unit is configured to extract text content which accords with a preset regulation text format from the supervision letter to be identified; a target regulation identifying unit configured to match the extracted text contents with a plurality of regulations pre-stored in a regulation library, respectively, to determine whether there is a matching target regulation; an associated regulation determining unit configured to determine the extracted text content as a regulation associated with the supervisory letter when the target regulation exists.

A third aspect of embodiments of the present application provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method when executing the computer program.

A fourth aspect of embodiments of the present application provides a computer-readable storage medium, in which a computer program is stored, which, when executed by a processor, implements the steps of the method as described above.

A fifth aspect of embodiments of the present application provides a computer program product, which, when run on a mobile terminal, causes the mobile terminal to implement the steps of the method as described above.

Compared with the prior art, the embodiment of the application has the advantages that:

the mobile terminal can find potential text contents belonging to the laws and regulations in the mail by using the text format, and further match the extracted text contents with the laws and regulations library to determine whether the text contents belong to the laws and regulations, so that the high accuracy of the result can be guaranteed. In addition, through the secondary query operation, the text content range matched with the rule base can be narrowed, the efficiency of automatic identification processing is improved, and the labor cost caused by manual identification work is saved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 illustrates a flow chart of an example of a method of identifying an associated regulation for a letter according to an embodiment of the present application;

FIG. 2 illustrates a flow chart of an example of a method of identifying an associated regulation for a letter according to an embodiment of the present application;

FIG. 3 illustrates a flow diagram of an example of determining a target regulation from a plurality of regulations in textual content according to an embodiment of the present application;

FIG. 4 illustrates a flow diagram of one example of determining a target legislation that matches extracted textual content according to embodiments of the present application;

FIG. 5 is a block diagram showing an example of a mail processing apparatus according to an embodiment of the present application;

FIG. 6 illustrates a flow chart of an example of a method of identifying an associated regulation for a letter according to embodiments of the present application;

FIG. 7 illustrates a user interface diagram of an example of how a letter is bound to a regulation according to an embodiment of the present application;

FIG. 8 illustrates a user interface diagram depicting an example of specific rules for a regulation according to an embodiment of the present application;

FIG. 9 is a block diagram illustrating an example of an apparatus for identifying a legislation associated with mail in accordance with embodiments of the present application;

fig. 10 is a schematic diagram of an example of a mobile terminal according to an embodiment of the present application.

Detailed Description

In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.

It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".

In particular implementations, the mobile terminals described in embodiments of the present application include, but are not limited to, other portable devices such as mobile phones, laptop computers, or tablet computers having touch sensitive surfaces (e.g., touch screen displays and/or touch pads). It should also be understood that in some embodiments, the devices described above are not portable communication devices, but rather are desktop computers having touch-sensitive surfaces (e.g., touch screen displays and/or touch pads).

In the discussion that follows, a mobile terminal that includes a display and a touch-sensitive surface is described. However, it should be understood that the mobile terminal may include one or more other physical user interface devices such as a physical keyboard, mouse, and/or joystick.

Various applications that may be executed on the mobile terminal may use at least one common physical user interface device, such as a touch-sensitive surface. One or more functions of the touch-sensitive surface and corresponding information displayed on the terminal can be adjusted and/or changed between applications and/or within respective applications. In this way, a common physical architecture (e.g., touch-sensitive surface) of the terminal can support various applications with user interfaces that are intuitive and transparent to the user.

In addition, in the description of the present application, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.

FIG. 1 shows a flow chart of an example of a method of identifying an associated regulation for a letter according to an embodiment of the application.

As shown in fig. 1, in step 110, text content conforming to a preset legal text format is extracted from the regulatory class to be identified.

Here, the administration class may include various functions, such as administration, inquiry, attention, etc., issued by an administration layer (e.g., stock exchange, certificate authority, etc.). In some examples of embodiments of the present application, the supervisory class of mail may also include reply mail to the above mail by a listed company and are within the scope of the present application. Further, the regulation text format may represent a text format that needs to be satisfied when a regulation appears in a letter. For example, a letter is generally framed with a title number, and the text format of the title may be the title number.

It should be understood that the legal text format may be equally applicable to other types of content information, for example, the content in the title number may not be the legal title, but may be other content information (e.g., paper documents, etc.), and therefore invalid information (e.g., content information other than the division rule) needs to be filtered out.

In step 120, the extracted text content is respectively matched with a plurality of rules pre-stored in a rule base to determine whether there is a matched target rule.

Here, the number and types of the regulations stored in the regulation library are not limited for the moment, for example, all the regulations currently in effect may be in the regulation library, or various regulations that may be involved in the regulatory class may be in the regulation library.

If the match result in step 120 indicates that there is a matching target regulation, then a jump is made to step 130. If the match result in step 120 indicates that there is no matching target regulation, it may indicate that there is no associated regulation in the letter and the operation may end.

In step 130, the extracted textual content is determined to be a regulation associated with the regulatory class.

In the embodiment of the application, the text format is utilized to find out the potential text content belonging to the regulation in the mail, and then the extracted text content is matched with the regulation library to determine whether the text content belongs to the regulation content, so that the high accuracy of the result can be ensured. In addition, through the secondary query operation, the text content range matched with the rule base can be narrowed, and the processing efficiency is improved.

With respect to step 110 described above, in some examples of embodiments of the present application, it may be identified whether a title number exists in the administration class, and when a title number is identified in the administration class, textual content within the title number is extracted from the administration class. Therefore, the potential content information belonging to the laws and regulations can be extracted from the supervision letter classes by utilizing the laws and regulations that the laws and regulations and the book name number appear simultaneously.

As a further disclosure and optimization of the embodiment of the present application, after determining that the extracted text content is a regulation associated with a regulatory letter, subsequent operations such as highlighting may be automatically performed to remind a user (e.g., a member of a listed company or an investor) to pay attention. In an example of the embodiment of the present application, the extracted text content, such as a highlighted marking rule, may be marked in the supervision letter, so that the purpose of automatically marking the rule text in the supervision letter is achieved, and the rule text is displayed in a more intuitive manner and used in a more convenient manner. Additionally or alternatively, a skip interface can be configured for the extracted text content, and the skip interface is used for being triggered (for example, triggered by clicking by a user, and the like) to skip to the regulation content corresponding to the target regulation, so that the user can quickly browse the specific regulation content and detailed rule entries of the regulation related to the supervision letter, and the user can conveniently and timely make a coping strategy.

FIG. 2 illustrates a flow chart of an example of a method of identifying an associated regulation for a letter according to an embodiment of the application.

As shown in fig. 2, in step 210, text content conforming to a preset legal text format is extracted from the supervision letter to be identified. For specific details of step 210, reference may be made to the description above in conjunction with step 110 in fig. 1, and details are not repeated here.

In step 220, the extracted text content is matched with the names of the respective laws in the laws and regulations library, respectively. In one example of an embodiment of the present application, the name of a regulation may be the full name of the regulation. In another example of an embodiment of the present application, the name of a regulation may be the full name, abbreviation, or alias of the regulation, among others.

In step 230, when the extracted text content is included in the name of the first regulation in the regulation library, the first regulation is determined as the target regulation.

Through the embodiment of the application, the extracted content can be directly determined as the target regulation under the application scene that the text content is contained in the name of the first regulation based on the name matching operation of the regulation.

In some application scenarios, the text content may include names of a plurality of regulations, and a target regulation needs to be determined from different regulations (i.e., a second regulation). FIG. 3 shows a flow diagram of an example of determining a target regulation from a plurality of regulations in textual content according to an embodiment of the application.

In step 310, the extracted text content is matched with the names of the respective laws in the laws and regulations library respectively.

In step 320, when the extracted text content includes names of a plurality of second rules, the levels corresponding to the plurality of second rules are compared. Here, each rule in the rule base is respectively configured with a corresponding level, so that level information corresponding to different rules can be obtained in the process of base query operation.

It should be understood that the level information corresponding to different laws and regulations may be fixed, for example, the legal levels of china are classified into five levels, which are, from high to low: constitution, law, administrative and local laws, regulations, departmental regulations and local government regulations.

If the comparison result in step 320 indicates that the levels corresponding to the names of the plurality of second laws and regulations are different, go to step 330. If the comparison result in step 320 indicates that the corresponding levels of the plurality of second laws and regulations are the same, go to step 340.

In step 330, a second regulation corresponding to the highest order among the plurality of second regulations is determined as the target regulation.

In step 340, a sentence containing the extracted text content is acquired, and date information in the acquired sentence is identified.

If the recognition result in step 340 indicates that the date information is recognized, it jumps to step 350. If the recognition result in step 340 indicates that no date information is recognized, it jumps to step 370.

In step 350, it is determined whether there is a second regulation of the plurality of second regulations whose regulation issuance date matches the identified date information. Here, each regulation in the regulation library is configured with a corresponding regulation issue date, and the regulation issue date corresponding to the second regulation may be determined by library query operation.

If the recognition result in step 350 indicates that there is a second regulation with a matching date, it jumps to step 360. If the recognition result in step 350 indicates that there is no second regulation whose date matches, the operation is ended.

In step 360, the second regulation whose regulation issuance date matches the identified date information is determined as the target regulation.

In step 370, an issuance date of the supervisory letter is acquired, and a target regulation is determined from the plurality of second regulations based on the issuance date and regulation issuance dates of the plurality of second regulations. For example, one of the plurality of regulation issuance dates that is closest to the issuance date (for example, the issuance date > the regulation issuance date) may be determined, and the corresponding second regulation may be determined as the target regulation.

According to the method and the device for identifying the letters, when a plurality of rules exist in the extracted text content, the target rules can be determined from the plurality of rules by using the rule orders and the rule issuing dates, and the rules most relevant to the letters can be effectively and accurately identified.

Fig. 4 shows a flowchart of an example of determining a target regulation matching extracted text content according to an embodiment of the present application.

As shown in fig. 4, in step 410, industry plate information corresponding to the supervision class is obtained. In an example of the embodiment of the present application, in a case that industry layout information exists in a supervision class, the corresponding industry layout information may be found directly through field extraction. In another example of the embodiment of the present application, in a case where no industry territory information exists in the supervision class, the industry territory information to which a listed company belongs may be obtained by identifying the name of the listed company in the mail.

In step 420, combined content information is determined based on the industry plate information and the extracted textual content.

In step 430, the combined content information is matched with each regulation in the regulation library to determine whether there is a matching target regulation.

Illustratively, the corresponding combined content information is determined in the form of "industry edition block information + extracted text content", and whether the combined content information matches with the name of the regulation in the regulation library or the matching degree may be determined, and the specific matching process may partially refer to or partially refer to the operations described in the above other method embodiments.

It should be noted that some regulations are specifically designed for specific industry editions, and the names (or full names) of the regulations usually carry corresponding industry information, however, the regulations in the letters may adopt an abbreviated manner to omit the corresponding industry information, which may result in a failure in matching the target regulations. By the embodiment of the application, the library query operation is carried out after the industry information is added under the extracted content in the mail, so that the problems can be effectively solved, and the problem that some laws and regulations are omitted and identified can be effectively avoided.

In the embodiment of the application, the laws and regulations and the specific laws and regulations related to the mail are automatically bound, the complex processes of manual identification, manual identification and processing and screening are omitted, the relation between the mail and the laws and regulations is clearly displayed, a listed company is helped to quickly locate and know the laws and regulations and detailed rules and items according to the mail, and timely and effective response is made.

Fig. 5 is a block diagram showing an example of a mail processing apparatus according to an embodiment of the present application.

As shown in FIG. 5, the mail processing apparatus 500 includes a mail splitting module 510, a mail question automatic binding rule module 520, a mail question automatic binding rule module 530, and a mail binding rule preview module 540.

The mail splitting module 510 is used to split the content information in the mail. Specifically, the mail splitting module 510 may divide all mails returned from listed companies to the certificate authority and the stock exchange into question contents and return contents according to specific rules. In addition, the reply content can be analyzed, and the paragraph with the book name number content only can be used as the effective reply content.

Specifically, a piece of envelope can be divided into a question part and a reply part, and then the content of the reply part is analyzed to identify whether the paragraph of the content carries the title number. Paragraphs with a title number are determined to be valid paragraphs and paragraphs without a title number are determined to be invalid paragraphs. Furthermore, the effective paragraphs can be integrated and arranged into a new reply content which needs to be automatically bound with the laws and regulations.

The mail question automatic binding regulation module 520 is used for binding the regulation name corresponding to the question content of the mail. Specifically, the mail question auto-binding rules module 520 may parse the question content and identify the content with the book name number as the rules name, matching the identified rules name strip with the rules names in the rules repository. Further, the content information that meets the preset condition can be identified as a regulation name, and corresponding binding operation is performed.

Specifically, the problem content can be analyzed to identify whether the book title number is included or not, if no book title number exists, no operation is performed, and if the book title number is included, the text content inside the book title number is judged as the identification rule content. Furthermore, the identified regulation content is respectively matched with all the regulations in the regulation library.

If the content of the identified regulation is contained in a certain regulation, the content of the book name number is the regulation, and the regulation is bound and marked to be highlighted.

If the content of the identified regulation contains a plurality of different names, the higher-order regulation is preferentially selected, bound and marked to be highlighted.

If the regulations contained in the content of the identified regulations have a plurality of different names and the same level, judging whether dates exist near the name numbers of the books; if the date exists, matching the rule again according to the rule that the date is equal to the rule promulgated by the rule, binding the rule successfully matched, and marking the rule as highlighted; if no date exists, binding the regulation according to the regulation that the letter date is larger than the regulation issuance date and the time difference between the two is minimum, and marking as highlighting.

If the identified rule content does not contain any rule, judging the plate to which the letter belongs according to the related company of the letter problem, matching by utilizing the plate and the rule of identifying the rule content, taking the full name of the completely matched rule, binding, and marking as highlighting.

If the identified regulation content does not contain any regulation, judging the plate to which the letter belongs according to the related company of the letter problem, matching by using 'industry plate information + identified content', and matching the identified regulation content with the alias of the regulation in the law library when the matched regulation is not obtained, taking the full name of the completely matched regulation alias, binding and marking as highlighting.

The mail question automatic binding law module 530 is used for analyzing the question content, and identifying the content which meets the conditions near the content with the book name number as the entry of the law, namely the law. Furthermore, the legal title can be matched with all the legal titles in the legal title library, and the content meeting the conditions is identified as the legal title and bound.

Specifically, the question content portion can be parsed to identify whether it carries a title number "". If the title number does not exist in the question content part, no operation is performed. If the book name number is carried, the sentence with the book name number is analyzed, invalid entry information is filtered, valid entry information is marked, examples of the invalid entry are 'document number (certificate Authority No. 2003<56 >),' date (2019, month 02, 20), and 'company stock on 120 trading days', and examples of the valid entry are '9.7 th entry', 'prescribed 13.3.3 case', 'eighty three entry', 'fourth portion', and the like.

If the laws and regulations in the sentences of the letters appear according to the sequence of the laws and regulations, the laws and regulations are matched with effective item names appearing behind the laws and regulations, the laws and regulations are successfully matched, the laws and regulations are bound, and the laws and regulations are marked to be highlighted.

If the laws and regulations in the sentences of the letters appear according to the order of the laws, the regulations, the laws and the laws in a concentrated order, matching all laws and regulations under the first appeared binding law with the first appeared effective items according to the order, successfully matching the laws and regulations, binding the laws and regulations, and marking as highlighting.

If a plurality of rules with the same name are bound and the laws bound by each rule are consistent, one rule and the binding relationship of the laws can be reserved.

The function binding rule previewing module 540 is used for analyzing the reply content, comparing the rule name identified by the problem with the content of the law bar, if the rule name is the same as the content of the law bar, directly binding the rule bound by the problem, otherwise identifying the content with the book name number as the rule name, identifying the nearby content meeting the condition as the law bar, and matching the rule name and the law bar in the rule library with the corresponding law bar corresponding to the reply, if the rule name and the law bar are different from the law bar, and completely matching and binding the rule name and the law bar.

Specifically, the reply content may be parsed, the text content with the title number may be determined as the identification rule content, and the reply identification rule content may be compared with the question identification rule content. If the answer is the same as the answer, the bound regulation and legal bar of the content binding question are directly bound and marked as highlighted.

If different identification regulation contents exist, the regulation of the reply content is bound again according to the implementation step of the letter problem and marked as highlighted.

After the automatic binding is completed, a preview button is clicked, the implementation situation of the mail binding rules can be previewed, and for example, after the user clicks the highlighted rules, the user can jump to the corresponding page to view the detailed rules in the relevant rules.

It should be noted that, in the case of no conflict, the steps in the above-mentioned respective method embodiments may be combined. FIG. 6 illustrates a flow chart of an example of a method of identifying an associated regulation for a letter according to an embodiment of the present application.

As shown in FIG. 6, in step 610, it may be parsed whether the text content carries "or not. If "does not hold" in step 610, then nothing is done.

If the text is identified as having a text of "at step 610, then a jump is made to step 620.

In step 620, the identified content in the book is matched against the full names of all the laws in the laws and regulations library.

In step 630, it is determined whether the identified content is included in a part of the legal title. If yes, binding corresponding regulations in the regulation library, and highlighting. If not, then the process jumps to step 640.

In step 640, it is determined whether the identified content contains multiple different levels of regulation. If the identification content contains a plurality of laws and regulations with different orders, the law with the highest order can be taken, the corresponding law in the law library is bound, and the corresponding law is highlighted.

If the determination result in step 640 indicates that the content includes a plurality of rules of the same level, the process goes to step 650.

In step 650, it is determined whether date information exists in the sentence having the symbol "or not. If the date information exists, the date is taken as the rule of the date issued by the rule, the corresponding rule is bound in the rule base, and the highlight display is carried out.

If the judgment result in the step 650 indicates that the sentence in the symbol "does not have date information, it jumps to a step 660.

In step 660, the letter sending date > rule issuing date with the minimum time difference can be taken.

In step 670, it is determined whether the identification content does not include any of the laws in the laws library.

If the determination result in step 670 indicates that the identification content does not include any one of the laws and regulations in the laws and regulations library, the process proceeds to step 680. If the determination result in step 670 indicates that the identified content contains a regulation in the regulation repository, then it jumps back to step 630.

In step 680, the block to which the company associated with the mail issue belongs is combined with the identified content, and the combined content information is matched against all of the laws and regulations in the laws and regulations library.

In step 690, it is checked whether the match was successful.

If the operation in step 690 shows that the match was successful, the rules in the rules library are bound and highlighted. If the operation in step 690 shows that the match is not successful, then a jump is made to step 6100.

In step 6100, the identified content is matched to aliases for all of the laws in the laws and regulations repository.

In step 6110, it is detected whether the alias matching operation is successful. And if the detection is successful in matching, binding the rules in the rule base and highlighting.

If the detection result in step 6110 indicates a failed match, go to step 6120.

In step 6120, no operation is performed.

In the embodiment of the application, a plurality of letter scenes with the information of the laws and regulations are covered, the laws and regulations in the letters can be automatically identified and marked to be highlighted, and the relation between the letters and the laws and regulations is displayed more clearly and intuitively. In addition, regulations are automatically bound, and the complex processes of manual identification and manual processing screening can be omitted. In addition, letters and rules are closely combined, so that the user can conveniently use and check the letters.

FIG. 7 is a schematic diagram of a user interface showing an example of how a letter is bound to a regulation according to an embodiment of the present application. Fig. 8 is a schematic user interface diagram illustrating an example of detailed rules describing regulations according to an embodiment of the present application. As shown in fig. 7, the laws and regulations in the mail may be automatically highlighted and bound to the corresponding laws and regulations. Furthermore, after the user clicks the highlighted rule, the user can jump to the interface shown in fig. 8, so that the listed company can be helped to quickly locate and know the rule and detailed item according to the mail, and timely and effective response can be conveniently made.

Fig. 9 is a block diagram showing an example of an apparatus for identifying a regulation associated with a mail according to an embodiment of the present application.

As shown in fig. 9, the apparatus 900 for identifying the associated regulation of a mail includes a text content extracting unit 910, a target regulation identifying unit 920, and an associated regulation determining unit 930.

The text content extraction unit 910 is configured to extract text content conforming to a preset regulation text format from the regulatory class to be identified.

The target regulation identifying unit 920 is configured to match the extracted text contents with a plurality of regulations pre-stored in a regulation library, respectively, to determine whether there is a matching target regulation.

The associated regulation determining unit 930 is configured to determine the extracted text content as the regulation associated with the supervisory letter when the target regulation exists.

It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.

Fig. 10 is a schematic diagram of an example of a mobile terminal according to an embodiment of the present application. As shown in fig. 10, the mobile terminal 1000 of this embodiment includes: a processor 1010, a memory 1020, and a computer program 1030 stored in said memory 1020 and operable on said processor 1010. The processor 1010, when executing the computer program 1030, implements the steps in the above-described method embodiment of identifying an associated legislation for a letter, such as the steps 110 to 130 shown in fig. 1. Alternatively, the processor 1010, when executing the computer program 1030, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the units 910 to 930 shown in fig. 9.

Illustratively, the computer program 1030 may be partitioned into one or more modules/units, which are stored in the memory 1020 and executed by the processor 1010 to accomplish the present application. The one or more modules/elements may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program 1030 in the mobile terminal 1000. For example, the computer program 1030 may be divided into a text content extraction module, a target regulation identification module, and an associated regulation determination module, and each module has the following specific functions:

and the text content extraction module is configured to extract text content which conforms to a preset regulation text format from the supervision letter to be identified.

And the target regulation identification module is configured to match the extracted text content with a plurality of prestored regulations in the regulation library respectively so as to determine whether the matched target regulation exists.

An associated regulation determination module configured to determine the extracted text content as a regulation associated with the supervisory letter when the target regulation exists.

The mobile terminal 1000 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The mobile terminal may include, but is not limited to, a processor 1010, a memory 1020. Those skilled in the art will appreciate that fig. 10 is only an example of a mobile terminal 1000 and is not intended to be limiting of the mobile terminal 1000, and that it may include more or less components than those shown, or some of the components may be combined, or different components, e.g., the mobile terminal may also include input-output devices, network access devices, buses, etc.

The Processor 1010 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 1020 may be an internal storage unit of the mobile terminal 1000, such as a hard disk or a memory of the mobile terminal 1000. The memory 1020 may also be an external storage device of the mobile terminal 1000, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the mobile terminal 1000. Further, the memory 1020 may also include both internal and external memory units of the mobile terminal 1000. The memory 1020 is used for storing the computer programs and other programs and data required by the mobile terminal. The memory 1020 may also be used to temporarily store data that has been output or is to be output.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments.

In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus/mobile terminal and method may be implemented in other ways. For example, the above-described apparatus/mobile terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The above units can be implemented in the form of hardware, and also can be implemented in the form of software.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims

1. A method of identifying a law associated with a letter, comprising:

extracting text contents which accord with a preset regulation text format from the supervision letter to be identified;

respectively matching the extracted text content with a plurality of rules pre-stored in a rule base to determine whether matched target rules exist; and

when the target regulation exists, the extracted text content is determined to be the regulation associated with the supervisory letter.

2. A method of identifying a letter's associated legislation as claimed in claim 1, wherein said extracting text content in accordance with a preset legislation text format from the regulatory letter classes to be identified comprises:

identifying whether a book name number exists in the supervision class mail;

when a title number is identified in the administration class, text content within the title number is extracted from the administration class.

3. The method of identifying a law associated with a letter according to claim 1, wherein after determining that the extracted textual content is a law associated with the supervisory letter, the method further comprises:

marking the extracted text content in the supervision class; and/or

And configuring a skip interface aiming at the extracted text content, wherein the skip interface is used for skipping to the regulation content corresponding to the target regulation to be triggered.

4. The method of identifying a letter's associated regulation according to claim 1, wherein the matching of the extracted text contents with a plurality of regulations pre-stored in a regulation library respectively to determine whether there is a matching target regulation comprises:

matching the extracted text content with the names of all laws and regulations in the law and regulation library respectively;

determining the first regulation as a target regulation when the extracted text content is included in a name of the first regulation in the regulation library.

5. A method of identifying a letter's associated laws and regulations according to claim 1, wherein each law in said library of laws and regulations is configured with a corresponding level,

wherein the matching the extracted text content with a plurality of rules pre-stored in a rule base respectively to determine whether there is a matching target rule, comprises:

when the extracted text content contains the names of a plurality of second regulations, comparing the levels corresponding to the second regulations respectively;

and when the corresponding levels of the plurality of second regulations are different, determining the second regulation corresponding to the highest level in the plurality of second regulations as the target regulation.

6. The method of identifying a letter's associated regulation of claim 5 wherein each regulation in the library of regulations is configured with a corresponding regulation issue date,

wherein when the levels of the plurality of second laws are the same, the method further comprises:

acquiring a sentence containing the extracted text content, and identifying date information in the acquired sentence;

determining whether there is a second regulation of the plurality of second regulations whose regulation issuance date matches the identified date information when the date information is identified,

determining a second regulation whose regulation issuance date matches the identified date information as a target regulation if the second regulation whose date matches exists; and

when the date information is not recognized, acquiring an issuance date of the supervision-like mail, and determining a target regulation from the plurality of second regulations according to the issuance date and regulation issuance dates of the plurality of second regulations.

7. The method of identifying a letter's associated regulation according to claim 1, wherein the extracted text contents are respectively matched with a plurality of regulations pre-stored in a regulation library to determine whether there is a matching target regulation, the method further comprising:

acquiring industry plate information corresponding to the supervision letter;

determining combined content information based on the industry plate information and the extracted text content;

and respectively matching the combined content information with each rule in the rule base to determine whether a matched target rule exists.

8. An apparatus for identifying a law associated with a letter, comprising:

the text content extraction unit is configured to extract text content which accords with a preset regulation text format from the supervision letter to be identified;

a target regulation identifying unit configured to match the extracted text contents with a plurality of regulations pre-stored in a regulation library, respectively, to determine whether there is a matching target regulation;

an associated regulation determining unit configured to determine the extracted text content as a regulation associated with the supervisory letter when the target regulation exists.

9. A mobile terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.