TWM664485U - Artificial Intelligence Form Generation System - Google Patents

Abstract

An artificial intelligence form generation system includes: a communication interface connected to a client computer to receive a form request statement information; a database storing a preset form template and a plurality of field items; and a processing unit signal-connecting the communication interface and the database, the processing unit including an artificial intelligence language model and a form generation module, the artificial intelligence language model performs semantic analysis on the form request statement information to generate a semantic analysis result, the form generation module automatically selects a plurality of field items from the plurality of field items according to the semantic analysis result and loads the preset form template to generate a form information, and transmits the form information to a computer for display; the processing unit executes a single execution file to implement the form generation module.

Description

Artificial Intelligence Form Generation System

The present invention relates to a form generation system, in particular to an artificial intelligence form generation system.

Online form system is one of the practical network tools. Online form system is mainly built on network server, so that the computer connected to the network server can display the form and allow users to fill in the form. However, it is known that online form system is mainly derived from web page code developed and written by engineers according to actual needs, but engineers have different programming skills and it is not easy to cultivate them, which causes form providers to spend more manpower and time costs to produce forms.

In view of this, the main purpose of the present invention is to provide an artificial intelligence form generation system to overcome the high cost problem of generating forms described in the prior art.

The novel artificial intelligence form generation system comprises: A communication interface, connected to a client computer to receive a form request statement information; A database, storing a preset form template and a plurality of field items; and A processing unit, signal-connecting the communication interface and the database, the processing unit comprising an artificial intelligence language model and a form generation module, the artificial intelligence language model performs semantic analysis on the form request statement information to generate a semantic analysis result, the form generation module automatically selects a plurality of field items from the plurality of field items according to the semantic analysis result, and loads the plurality of field items into the preset form template to generate a form information, the processing unit transmits the form information to the computer connected to the artificial intelligence form generation system for display; The processing unit executes a single executable file to implement the form generation module.

According to the novel artificial intelligence form generation system, the artificial intelligence language model automatically selects a plurality of field items according to the semantic analysis result, and the form generation module loads the plurality of field items into the default form template to generate the required form information, wherein the processing unit executes the single execution file to implement the form generation module, that is, the novel system provides a code-free form generation technology, and the user only needs to issue the form request statement information to the novel system, and the novel system can automatically generate the form information, effectively reducing the labor cost and time cost of engineers developing and writing web page code.

The novel artificial intelligence form generation system can be implemented on a server host. Please refer to FIG. 1 . An embodiment of the novel artificial intelligence form generation system 10 can include a communication interface 11 , a database 12 , and a processing unit 13 .

The communication interface 11 can be connected to a client computer 20 for two-way information transmission. For example, the communication interface 11 can be connected to the client computer 20 via the Internet. The client computer 20 can be, but is not limited to, a smart phone, a tablet computer, a desktop computer, or a laptop computer. The communication interface 11 can be a wired network card or a wireless network card.

The database 12 is used to store data for the processing unit 13 to read, and the processing unit 13 can also write data into the database 12. The database 12 stores data of a default form template 120 and a plurality of field items 121. For example, a form format provided by the default form template 120 may include format contents such as font, background color, field arrangement, etc. The plurality of field items 121 are items in the form to be presented to the user. For example, the plurality of field items 121 may include an account field, a password field, a password confirmation field, a name field, an age field, a number field, a text edit field, a drop-down menu field, a button field, a check box field, a picture field, a video field, etc. The database 12 may be established in a storage unit 14 of the artificial intelligence form generation system 10. The storage unit 14 may be a traditional hard disk (HDD), a solid state hard disk (SSD), a memory, or a memory card. Each of the field items 121 corresponds to one or more form keywords. For example, the database 12 may store a comparison table, which includes multiple form keywords and multiple field items 121 corresponding to each form keyword. The multiple field items 121 corresponding to different form keywords may be completely different, completely the same, or partially the same and partially different.

The processing unit 13 includes a central processing unit chip (CPU) and has the functions of receiving, calculating and outputting information. The processing unit 13 is signal-connected to the communication interface 11 and the database 12. For example, the processing unit 13 can connect the communication interface 11 and the database 12 via a data bus or a data transmission line. The processing unit 13 includes an artificial intelligence language model 130 and a form generation module 131. In other words, the program data of the artificial intelligence language model 130 and the program data of the form generation module 131 can be stored in the storage unit 14, so that the processing unit 13 can read and execute these program data, including the artificial intelligence language model 130 and the form generation module 131.

The artificial intelligence language model 130 can be, for example, a large language model (LLM). The artificial intelligence language model 130 can perform semantic analysis on a sentence information to generate a semantic analysis result, and the semantic analysis result includes at least one form keyword. However, it should be noted that the present invention only involves the application of the common knowledge of the artificial intelligence language model 130, and does not describe in detail the algorithm principle of its semantic analysis.

The program data of the form generation module 131 can be integrated and compiled into a single executable file (.exe file) 140 of machine code. The single executable file 140 is stored in the storage unit 14, so the processing unit 13 can execute the single executable file 140 to directly implement the form generation module 131. For example, a program can be written through a medium or high-level programming language development tool (such as VC++, VB, etc.), and the web server function and the dynamic web page program function can be integrated and compiled into the single executable file 140 of the machine code. Therefore, the processing unit 13 only needs to execute the single executable file 140 to immediately have a web server and provide the client computer 20 with access to the dynamic web page function. In other words, the new technology provides a no-code form generation technology. In this way, the source code of the dynamic web page program will not be exposed to the client computer 20, and the user who obtains the authority of the client computer 20 cannot browse the source code of the dynamic web page program, so the source code of the dynamic web page program can be fully protected.

In the present invention, the communication interface 11 can receive a form request statement information M from the client computer 20. For example, the user can edit a text message as the form request statement information M through the client computer 20 by typing, touching or speaking, and the client computer 20 can transmit the form request statement information M to the communication interface 11 for reception. Therefore, the processing unit 13 can receive the form request statement information M through the communication interface 11.

After the processing unit 13 receives the form request statement information M, the artificial intelligence language model 130 of the processing unit 13 performs semantic analysis on the form request statement information M to generate a semantic analysis result R, and transmits the semantic analysis result R to the form generation module 131 of the processing unit 13, wherein the semantic analysis result R can be, for example, a form keyword. The form generation module 131 automatically selects a plurality of field items 121 from the plurality of field items 121 of the database 12 according to the semantic analysis result R, and loads the selected plurality of field items 121 into the default form template 120 to generate a form information F. The processing unit 13 transmits the form information F to a computer connected to the novel system (e.g., the client computer 20 and/or other computer 30 connected to the communication interface 11) for display.

Summarizing the above description, please refer to FIG. 1 and FIG. 2 , the novel system may include the following steps: Step S01: The processing unit 13 receives a form request statement information M transmitted by the client computer 20. Step S02: The artificial intelligence language model 130 of the processing unit 13 performs semantic analysis on the form request statement information M to generate a semantic analysis result R. Step S03: The form generation module 131 of the processing unit 13 automatically selects a plurality of field items 121 from the plurality of field items 121 of the database 12 according to the semantic analysis result R. Step S04: The form generation module 131 of the processing unit 13 loads the plurality of field items 121 selected in step S03 into the default form template 120 of the database 12 to generate a form information F. Step S05: The processing unit 13 transmits the form information F to the computer (client computer 20 and/or other computer 30) connected to the novel system for display.

In summary, the user operating the client computer 20 only needs to provide the form request statement information M to the new system, and the new system can automatically generate the form information F, and provide the form information F to the client computer 20 and other computers connected to the new system for display, so as to facilitate the user and related personnel to fill in the form information F. The following is an example.

1. Example 1

The form request statement information M received by the processing unit 13 is "Please generate an active registration form", and the artificial intelligence language model 130 generates the semantic analysis result R as the form keyword "registration form" based on the form request statement information M. Then, the form generation module 131 selects multiple field items 121 from the database 12 based on "registration form", which may include a name field and a number of people field, and loads the selected aforementioned fields into the default form template 120 to generate the form information F and transmit it externally.

2. Example 2

The form request sentence information M received by the processing unit 13 is "please generate a questionnaire", and the artificial intelligence language model 130 generates the semantic analysis result R as the form keyword "questionnaire" based on the form request sentence information M. Then, the form generation module 131 selects multiple field items 121 from the database 12 based on "questionnaire", which may include an age field, a text editing field, and a check box field, and loads the selected aforementioned fields into the default form template 120 to generate the form information F and transmit it externally.

3. Example 3

The form request statement information M received by the processing unit 13 is "Please generate a headcount survey form", and the artificial intelligence language model 130 generates the semantic analysis result R as the form keyword "headcount survey" based on the form request statement information M. Then, the form generation module 131 selects multiple field items 121 from the database 12 based on "headcount survey", which may include a name field and a headcount field, and loads the selected aforementioned fields into the default form template 120 to generate the form information F and transmit it externally.

4. Example 4

The form request statement information M received by the processing unit 13 is "Please generate an age survey form", and the artificial intelligence language model 130 generates the semantic analysis result R as the form keyword "age survey" based on the form request statement information M. Then, the form generation module 131 selects multiple field items 121 from the database 12 based on "age survey", which may include a name field and an age field, and loads the selected aforementioned fields into the default form template 120 to generate the form information F and transmit it externally.

In the above examples, Example 1 and Example 2 may present completely different states of multiple field items 121 corresponding to different form keywords; Example 1 and Example 3 may present completely identical states of multiple field items 121 corresponding to different form keywords; Example 1 and Example 4 may present partially identical and partially different states of multiple field items 121 corresponding to different form keywords.

10: Artificial intelligence form generation system 11: Communication interface 12: Database 120: Default form template 121: Field items 13: Processing unit 130: Artificial intelligence language model 131: Form generation module 14: Storage unit 140: Single executable file 20: Client computer 30: Computer M: Form request statement information R: Semantic analysis results F: Form information

Figure 1: Block diagram of an embodiment of the novel artificial intelligence form generation system. Figure 2: Flow diagram of an embodiment of the novel artificial intelligence form generation system.

10: Artificial intelligence form generation system

11: Communication interface

12: Database

120:Default form template

121: Field Item

13: Processing unit

130: Artificial Intelligence Language Model

131: Form generation module

14: Storage unit

140: Single executable file

20: Client computer

30: Computer

M: Form request statement information

R: Semantic analysis results

F: Form information

Claims (5)

An artificial intelligence form generation system includes: a communication interface connected to a client computer to receive a form request statement information; a database storing a default form template and multiple field items; and A processing unit, signal-connecting the communication interface and the database, the processing unit includes an artificial intelligence language model and a form generation module, the artificial intelligence language model performs semantic analysis on the form request statement information to generate a semantic analysis result, the form generation module automatically selects multiple field items from the multiple field items according to the semantic analysis result, and loads the multiple field items into the default form template to generate a form information, and the processing unit transmits the form information to a computer connected to the artificial intelligence form generation system for display; Wherein, the processing unit executes a single execution file to implement the form generation module. An artificial intelligence form generation system as described in claim 1, wherein the artificial intelligence language model is a large language model (LLM). The artificial intelligence form generation system as described in claim 1, wherein the database stores a comparison table, the comparison table includes a plurality of form keywords and a plurality of field items corresponding to each of the form keywords, and the plurality of field items corresponding to different form keywords are completely different. The artificial intelligence form generation system as described in claim 1, wherein the database stores a comparison table, the comparison table includes a plurality of form keywords and a plurality of field items corresponding to each of the form keywords, and the plurality of field items corresponding to different form keywords are exactly the same. An artificial intelligence form generation system as described in claim 1, wherein the database stores a comparison table, the comparison table comprising a plurality of form keywords and a plurality of field items corresponding to each of the form keywords, and the plurality of field items corresponding to different form keywords are partially identical and partially different.

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