Microsoft Technology Licensing, LLC

Yi Liu

Kunal Mukerjee

Jian-guang Lou

Weizhu Chen

Haiyuan Cao

Yu Hu

Kuralmani Elango

PalaniRaj Kaliyaperumal

Zeqi Lin

Examples described herein generate training data for machine learning (ML) for natural language (NL) processing (such as semantic parsing for translating NL). A formula tree is generated based on sampling both a formula grammar and NL templates. Using the formula tree, an ML training data instance pair is generated comprising a formula example and an NL example. A context example may also be used during instantiation of the formula tree. An ML model is trained with training data including the ML training data instance pair, and ML output is generated from NL input. The ML output includes, for example, a machine-interpretable formula, a database querying language command, or a general programming language instruction. Some examples support context-free grammar, probabilistic context-free grammar, and/or non-context-free production rules.

Generating model training data from a domain specification

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Woodinville, WA, United States of America

Yi Liu