Mobile Terminal Information Extraction via Natural Language Processing
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Solution Overview
Problem
Current mobile terminals lack the ability to automatically extract relevant information such as names, places, and times from text or voice messages, limiting their functionality in performing tasks like phone book searches, road guide information generation, and alarm settings.
Innovation Solution
A mobile terminal and control method that utilize natural language processing to extract information from text or voice messages, enabling functions like phone book searches, road guide information generation, and alarm settings by identifying names, places, and times, and transmitting this information to other terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile terminal performs basic communication functions only, then device complexity is low, but adaptability and versatility are limited
Solution Approach 1:
The mobile terminal is designed to perform multiple functions using a unified information extraction framework. The same natural language processing system that extracts contact information from messages also extracts location information for navigation and time information for scheduling, allowing one system to serve multiple purposes across different applications.
Solution Approach 2:
An information extraction module acts as an intermediary between message reception and various application functions. This mediator component processes incoming messages to extract structured information (contact names, locations, times) and makes this processed information available to multiple applications including phone books, navigation, and scheduling systems.
2Productivity
If mobile terminal manually processes message information, then processing accuracy is high, but productivity and user convenience are reduced
Solution Approach 1:
The mobile terminal automatically extracts and processes information from incoming messages without requiring user intervention. The system self-services by identifying contact information, location data, and time details from message content and automatically making this information available for various functions, eliminating the need for manual copying or data entry by the user.
Solution Approach 2:
The information extraction process occurs automatically when messages are received, preparing the data in advance for potential use. By extracting and structuring information at the time of message receipt rather than waiting for user request, the system has information ready when needed, improving both efficiency and user experience.
3Loss of information
If mobile terminal extracts detailed information from messages, then information utility is improved, but loss of time for processing increases
Solution Approach 1:
The system extracts only the specific information elements that are most useful for mobile terminal functions, such as contact names for phone book integration, location names for navigation, and time expressions for scheduling. By selectively extracting only these relevant data points rather than processing entire message contents, the system maximizes information utility while minimizing processing time.
Data Source
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AI summary
Disclosed is a mobile terminal and control method thereof capable of automatically extracting a user desired key word from already retained information and transmitting the already retained information and/or additional information related to the extracted information based on the extracted information to a certain terminal. The method for controlling a mobile terminal includes: extracting particular information included in a certain message; and transmitting the message and/or additional information corresponding to the particular information based on the extracted particular information.