Interactive System Unknown Keyword Detection and Response Generation
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Solution Overview
Problem
Interactive devices often fail to provide appropriate responses to users when their questions contain unknown keywords not registered in the device's dictionary, leading to repetitive and uncomfortable conversations.
Innovation Solution
An interactive system with a text analysis unit, unknown keyword detection unit, related keyword estimation unit, and response generation unit that analyzes input sentences, detects unknown keywords, estimates related keywords, and generates responses based on these estimates to continue interaction effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the interactive device uses a fixed dictionary for keyword recognition, then the device structure remains simple, but the device cannot handle unknown keywords and fails to provide appropriate responses
Solution Approach 1:
The patent introduces a mediator component (keyword expansion module or related information acquisition module) that acts as an intermediary between the fixed dictionary and the response generation system. When an unknown keyword is detected, this mediator retrieves related keywords or expanded meanings from external sources or knowledge bases, enabling the system to handle unknown keywords without fundamentally changing the core dictionary-based architecture.
Solution Approach 2:
The system performs preliminary actions by pre-acquiring and storing related keyword information, synonym lists, or knowledge base data before they are needed. When an unknown keyword is encountered, the system can quickly retrieve pre-prepared related information rather than performing complex real-time analysis, thus handling adaptability while maintaining relatively simple system structure.
2Reliability
If the interactive device makes inquiries to the user to clarify ambiguous questions, then the device can appropriately answer complicated questions, but the conversation becomes repetitive and uncomfortable when unknown keywords are present
Solution Approach 1:
The patent introduces keyword expansion information or related keyword data as an intermediary layer between the user's unknown keyword and the system's response generation. Instead of directly questioning the user about the unknown keyword, the system uses the intermediary information to generate informed responses or targeted clarification questions, reducing repetitive interactions while maintaining response accuracy.
Solution Approach 2:
The system implements feedback mechanisms where it presents expanded keyword information or related keyword suggestions to the user, and based on user feedback, adjusts its understanding and generates more accurate responses. This feedback loop allows the system to learn from user corrections and improve interaction comfort while maintaining reliability.
3Stability of the object's composition
If the interactive device outputs the same response sentence repeatedly when encountering unknown keywords, then the system maintains consistency, but the conversation loops and becomes uncomfortable for the user
Solution Approach 1:
The patent makes the system dynamic by introducing adaptive response generation based on unknown keyword detection. When unknown keywords are detected, the system dynamically adjusts its behavior by acquiring related keyword information and generating context-aware responses rather than repeating fixed sentences. This dynamic adaptation maintains response consistency within each interaction context while enabling the system to handle diverse unknown keywords effectively.
Data Source
AI summary
According to one embodiment, an interactive system includes following units. The knowledge reference unit refers to a question-answering knowledge based on a result of analyzing an input sentence to acquire a candidate for an answer to the input sentence. The unknown keyword detection unit detects, from the input sentence, an unknown keyword. The related keyword estimation unit acquires, in response to the detection of the unknown keyword, one or more candidates for a related keyword having a meaning close to the unknown keyword from predetermined keywords. The response generation unit generates a response to the input sentence based on the one or more candidates for the related keyword when the unknown keyword is detected.