A method to automatically generate natural language text from structured process model

A process model and natural language technology, applied in natural language data processing, semantic analysis, instruments, etc., can solve the problems of low efficiency, loss of process structure information, high artificial generation cost, and ensure consistency, correct grammar, and complete semantics. Effect

Active Publication Date: 2021-01-01
SHANDONG UNIV OF SCI & TECH
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0007] Artificially generated solutions cannot solve the problem of long time period
As the scale of the process model increases, for process model experts, the correctness of the generated text cannot be guaranteed, and the cost of manual generation is high and the efficiency is low
[0008] The natural language analysis and generation scheme is to use templates and label text information to generate natural language text. Since the grammar of the generated text is not considered, the grammar of the generated text cannot be guaranteed to be correct, so the readability of the generated text is poor
For the branches, selections, loops, concurrency and other structures existing in the process model, the natural language analysis method cannot handle them correctly, so the process structure information will be lost, which is fatal for understanding the process model

Method used

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  • A method to automatically generate natural language text from structured process model
  • A method to automatically generate natural language text from structured process model
  • A method to automatically generate natural language text from structured process model

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Embodiment Construction

[0049] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0050] The present invention starts from the BPMN process model, such as figure 1 As shown, first obtain the text information of nodes, edges and swim lanes in the BPMN process model, and then use semantic role annotation to parse the text information; then use the RPST (the refined process structure tree) algorithm to convert the process model structure and store the process model structure in the process structure tree; then merge the parsing and text information with the process structure tree to generate an annotated process structure tree; then use the syntax tree to convert the text information in the annotated process structure tree into short text. Finally, the natural language text of the BPMN process model is generated by traversing the annotated process structure tree and the short text generated by the syntax tree. Therefore, based ...

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Abstract

The invention discloses a method for automatically generating a natural language text from a structured flow model, belonging to the field of flow mining. The present invention first utilizes the label text analysis technology to obtain and analyze the label text information in the BPMN process model; secondly, uses the process model structure conversion technology to convert the structure of the BPMN process model into a process structure tree; finally, uses natural language to generate technology to generate natural language text. The invention can generate natural language texts with correct syntax and complete semantics, so that non-professionals can understand the BPMN process model by reading the natural language texts.

Description

technical field [0001] The invention belongs to the field of process mining, and in particular relates to a method for automatically generating natural language text from a structured process model. Background technique [0002] Currently, the generation of natural language text from the BPMN (Business Process Model and Notation, business process model and notation) process model includes two types of solutions: one is to generate corresponding natural language text through the reading and understanding of the model by BPMN process model experts; the other One is the natural language text automatically generated by the method of natural language information analysis. [0003] The first type of method is to rely on the help of process model experts. The experts master the knowledge related to the BPMN process model. The experts read and understand the BPMN process model and express the meaning of the model in natural language text. [0004] The second type of method is to us...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/154G06F40/143G06F40/30G06F40/253
CPCG06F40/151G06F40/154G06F40/253G06F40/30
Inventor 曾庆田原桂远李超鲁法明段华周长红
Owner SHANDONG UNIV OF SCI & TECH
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