Feedback techniques for processing natural language queries
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Abstract
Approaches for executing feedback techniques for processing of natural language queries are described. According to one example, upon receiving a customization request in relation to a visual indicator, data fields associated with the visual indicator are displayed. Each of the data fields represents a subset of data stored within one or more datasets, the data being graphically representable through the visual indicator. A first input, including additional synonyms to be assigned to a data field from the data fields, is received. A list of pre-assigned synonyms, associated with the data field for processing of natural language queries for one or more topics, is obtained. The additional synonyms are reconciled with the list of pre-assigned synonyms to obtain an updated list of pre-assigned synonyms for the data field. The updated list of pre-assigned synonyms may be used for future processing of natural language queries raised for the one or more topics.
Core Innovation
The system accepts user-provided synonyms for data fields associated with a visual indicator, compares those synonyms with pre-assigned synonyms, and stores distinct additions in an updated list for future natural-language query processing. The data fields represent subsets of data associated with datasets, and their display and reconciliation are constrained by dataset access and topic authorization. The feedback and pre-assigned synonym lists may be stored in databases managed by different entities.
The supplied content does not include the background section, so a specific problem described there is not explicitly described in patent. It states that the system is intended to improve query-response accuracy while reducing manual updating and unauthorized synonym changes. The updated synonym list is used for future processing of natural-language queries on authorized topics.
Claims Coverage
The patent has three independent claims: a method claim, a system claim, and a non-transitory computer-readable medium claim. Their main inventive features are summarized in three features below.
Reconciliation of user-provided synonyms
The method receives additional synonyms for a data field associated with a visual indicator, obtains the pre-assigned synonyms for that field, reconciles the additional synonyms with the pre-assigned synonyms, and stores the updated list for future processing of natural-language queries.
System for synonym reconciliation and query processing
The system includes a synonym reconciliation module that receives and stores user-provided synonyms, reconciles them with the pre-assigned synonyms for a data field, and stores the updated list. A query processing module uses the updated list to process a natural-language query.
Computer-readable medium for updating synonyms
The non-transitory computer-readable medium comprises instructions to compare additional synonyms with pre-assigned synonyms, determine at least one distinct synonym, incorporate it into an updated list, and store that list for future processing of natural-language queries.
The three independent claims cover the synonym-update process as a method, as a system with query processing, and as executable instructions on a non-transitory computer-readable medium. Each centers on updating pre-assigned synonyms for data fields associated with a visual indicator so the updated list can support natural-language query processing.
Stated Advantages
Improves query-response accuracy.
Reduces manual updating.
Reduces unauthorized synonym changes.
Documented Applications
Processing natural-language queries for authorized topics using updated synonyms associated with data fields.
Generating a response through a visual indicator from natural-language query processing.
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