DATA MANUFACTURING FRAMEWORKS FOR SYNTHESIZING SYNTHETIC TRAINING DATA TO FACILITATE TRAINING A NATURAL LANGUAGE TO LOGICAL FORM MODEL

DATA MANUFACTURING FRAMEWORKS FOR SYNTHESIZING SYNTHETIC TRAINING DATA TO FACILITATE TRAINING A NATURAL LANGUAGE TO LOGICAL FORM MODEL

Techniques are disclosed herein for synthesizing synthetic training data to facilitate training a natural language to logical form model. In one aspect, training data can be synthesized from original under a framework based on templates and a synchronous context-free grammar. In one aspect, training...

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Bibliographische Detailangaben
Hauptverfasser: Vishnoi, Vishal, Siu, Steve Wai-Chun, Vinnakota, Balakota Srinivas, Hoang, Cong Duy Vu, Mathur, Nitika, Tangari, Gioacchino, Duong, Thanh Long, Johnson, Mark Edward, Kanuga, Aashna Devang, Arthur, Philip, Gadde, Srinivasa Phani Kumar
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Techniques are disclosed herein for synthesizing synthetic training data to facilitate training a natural language to logical form model. In one aspect, training data can be synthesized from original under a framework based on templates and a synchronous context-free grammar. In one aspect, training data can be synthesized under a framework based on a probabilistic context-free grammar and a translator. In one aspect, training data can be synthesized under a framework based on tree-to-string translation. In one aspect, the synthetic training data can be combined with original training data in order to train a machine learning model to translate an utterance to a logical form.