Creative-Work Excerpt Insertion for Contextual Query Responses
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Solution Overview
Problem
Conversational systems often provide limited and unengaging responses to search queries, typically consisting of simple acknowledgments or text-to-speech conversions of search results, failing to incorporate engaging dialogue relevant to the user.
Innovation Solution
Systems and methods for inserting dialogue metadata into query responses, utilizing natural language processing to identify and integrate relevant portions of dialogue from content items based on query types, parts of speech, and grammatical compatibility, and modifying dialogue as necessary to ensure grammatical correctness and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple acknowledgments or text-to-speech conversions of search results are used, then the system operation is simple, but the user engagement is low
Solution Approach 1:
The response generation process is segmented into multiple components: selecting relevant dialogue portions, determining insertion positions, and integrating dialogue excerpts with search results. This allows the system to maintain operational simplicity while enhancing engagement through structured multi-step processing.
Solution Approach 2:
Dialogue portions are pre-processed and stored with metadata including grammatical information and insertion position indicators. This preliminary preparation enables the system to quickly integrate engaging dialogue into responses without complex real-time processing, maintaining operational simplicity while improving engagement quality.
2Device complexity
If dialogue portions are inserted into responses without modification, then the insertion process is simple, but the grammatical correctness may be poor
Solution Approach 1:
The system modifies dialogue portions by changing grammatical parameters such as pronoun person (first person to third person), tense, and number to match the response context. This ensures grammatical correctness while maintaining a relatively simple insertion process through automated parameter adjustment based on metadata.
3Loss of information
If extensive dialogue metadata processing is performed, then the dialogue relevance is improved, but the processing time increases
Solution Approach 1:
Dialogue metadata including grammatical information, insertion position indicators, and relevance tags are pre-computed and stored during dialogue collection. This preliminary action reduces real-time processing requirements, allowing the system to quickly retrieve and insert relevant dialogue portions without extensive processing during query response generation.
Solution Approach 2:
The system extracts only the essential metadata fields needed for relevance determination and insertion (such as part of speech, insertion position, and brevity indicators) rather than processing all available dialogue information. This selective extraction maintains dialogue relevance while minimizing processing time.
Data Source
AI summary
Methods and systems are provided for dynamically generating responses to user queries based on excerpts from creative works such as movies, books, plays, and videos. Upon receiving a query, a determination is made whether the query relates to a specific content item and related excerpts or famous lines from that content item are identified. The response is analyzed with natural language processing to ensure grammatical correctness. Excerpts such as greetings, character-specific content, or famous expressions are inserted at appropriate positions within the response.