Dialogue Metadata Insertion for Grammatically Relevant 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 offer relevant and engaging interactions with users.
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 needed to ensure grammatical correctness and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple acknowledgments or text-to-speech conversions are used for query responses, then system complexity is reduced, but user engagement and response quality deteriorate
Solution Approach 1:
The patent segments dialogue from multiple content items into discrete portions with associated metadata, allowing selective insertion into responses. This segmentation enables the system to maintain simplicity while enhancing engagement by only incorporating relevant dialogue segments rather than processing entire content items.
Solution Approach 2:
The system performs preliminary actions by pre-processing content items to extract and store dialogue portions with metadata (parts of speech, grammatical information, context) before queries are received. This advance preparation enables rapid response generation without increasing real-time system complexity.
2Ease of operation
If dialogue portions are inserted into all query responses, then user engagement is improved, but response relevance and grammatical correctness may deteriorate
Solution Approach 1:
The patent applies local quality by matching dialogue portions to specific response contexts based on grammatical compatibility and relevance. Each response is customized with dialogue that fits its specific grammatical structure and contextual requirements, rather than applying a uniform dialogue insertion approach.
Solution Approach 2:
The system changes parameters by evaluating multiple attributes of dialogue portions (parts of speech, grammatical form, context) and selecting only those that match the response template requirements. This parameter-based filtering ensures grammatical correctness while maintaining engagement.
3Manufacturing precision
If extensive natural language processing is performed to ensure grammatical correctness, then grammatical accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs grammatical analysis and metadata extraction in advance during content item processing, storing parts of speech and grammatical information in dialogue metadata. This preliminary action eliminates the need for extensive real-time natural language processing when generating responses.
Solution Approach 2:
The patent uses pre-analyzed dialogue metadata as a template or copy that can be quickly matched to response templates without re-processing the original content. This copying approach maintains grammatical accuracy while significantly reducing processing time.
4Loss of information
If dialogue from multiple content items is integrated into responses, then response richness and relevance are improved, but system complexity and data management difficulty increase
Solution Approach 1:
The patent segments dialogue from multiple content items into discrete, metadata-tagged portions that can be independently managed and retrieved. This segmentation transforms unmanageable raw dialogue data into structured, queryable units that enhance response richness without overwhelming system complexity.
Data Source
AI summary
Systems and methods are described herein for inserting dialogue into query responses by generating and using dialogue metadata in conjunction with response templates. Metadata for each portion of dialogue of a plurality of portions of dialogue from a number of content items is stored, including information regarding the source content item, a transcript of the dialogue, and grammatical information. Upon receiving a query related to a content item, a type of response is first determined. Based on the type of response, and using the dialogue metadata, a portion of dialogue is identified for insertion into the response. The identified portion of dialogue is retrieved and inserted at an appropriate position within the response. The response is then generated for output.