Google llc (20240256533). SEMANTIC PARSING USING EMBEDDING SPACE REPRESENTATIONS OF EXAMPLE NATURAL LANGUAGE QUERIES
SEMANTIC PARSING USING EMBEDDING SPACE REPRESENTATIONS OF EXAMPLE NATURAL LANGUAGE QUERIES
Organization Name
Inventor(s)
Wangqing Yuan of Wilmington MA US
Bryan Christopher Horling of Belmont MA US
SEMANTIC PARSING USING EMBEDDING SPACE REPRESENTATIONS OF EXAMPLE NATURAL LANGUAGE QUERIES
This abstract first appeared for US patent application 20240256533 titled 'SEMANTIC PARSING USING EMBEDDING SPACE REPRESENTATIONS OF EXAMPLE NATURAL LANGUAGE QUERIES
Original Abstract Submitted
techniques disclosed herein are directed towards generating structured data output based on processing a natural language user query using a semantic parser model. many implementations include identifying one or more argument spans in the given natural language user query based on comparing an embedding space representation of a candidate argument with an embedding space representation of an example query, where the example query is provided by a developer. various implementations include hotfixing an under-triggering model and/or an over-triggering model based on additional or alternative example queries provided by a developer.