SEMANTIC PARSING USING EMBEDDING SPACE REPRESENTATIONS OF EXAMPLE NATURAL LANGUAGE QUERIES

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 embed...

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Bibliographische Detailangaben
Hauptverfasser: Horling, Bryan Christopher, Yuan, Wangqing
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung: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.