Natural Language Schedule Creation System
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Solution Overview
Problem
Existing schedule creation methods in office automation systems require users to manually enter multiple schedule configuration items, leading to cumbersome operations and low efficiency.
Innovation Solution
A method that allows users to automatically generate schedule information by entering natural language on a schedule creation page, which then displays and confirms the generated schedule configuration items before creating the target schedule.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually enter each schedule configuration item, then the schedule can be created with complete information, but the operation becomes cumbersome and efficiency decreases
Solution Approach 1:
The system automatically generates schedule configuration items by processing natural language input, eliminating the need for users to manually fill in each field. The natural language processing system extracts relevant information and automatically populates schedule parameters, allowing the system to serve itself rather than requiring extensive user input for each configuration item.
Solution Approach 2:
The patent replaces the mechanical manual entry process with an automated natural language processing system. Instead of requiring users to mechanically input data into multiple fields, the system uses NLP technology to interpret natural language statements and automatically transform them into structured schedule configuration data, substituting manual mechanical operations with automated intelligent processing.
2Manufacturing precision
If users manually enter multiple schedule configuration items, then the schedule information can be complete, but the time required for creation increases
Solution Approach 1:
The system performs preliminary processing of the natural language input to extract all necessary schedule information before the user needs to review or confirm the schedule. The natural language processing system pre-processes the input statement, identifies relevant entities, relationships, and parameters, and automatically generates complete schedule configuration items in advance, eliminating the need for time-consuming manual entry while ensuring information completeness.
3Productivity
If the system processes natural language to generate schedule information, then schedule creation efficiency improves, but the system complexity increases
Solution Approach 1:
The patent introduces a natural language processing system as an intermediary between the user's simple natural language input and the complex schedule configuration system. This intermediary layer translates easily understood natural language statements into structured data that the schedule system can process, shielding the user from system complexity while enabling efficient automated schedule creation. The NLP system acts as a mediator that bridges the gap between simple user input and complex system requirements.
Data Source
AI summary
The present application provides a schedule creation method and system, a device, and a medium. The method includes: obtaining information to be processed in response to an input request triggered on a schedule creation page, where the information to be processed is configured to represent natural language content, wherein the information to be processed is configured to indicate the generation of a target schedule; displaying, on the schedule creation page based on the information to be processed, schedule information including a plurality of schedule configuration items; and creating the target schedule in response to a confirmation operation for the schedule information.