Exploiting the semantic web for unsupervised spoken language understanding
AssigneeMicrosoft Corporation
InventorsLarry Heck, Dilek Hakkani-Tur, Gokhan Tur
Life of this patent
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AssigneeMicrosoft Corporation
InventorsLarry Heck, Dilek Hakkani-Tur, Gokhan Tur
Estimating the term…
An unsupervised training approach for Spoken Language Understanding (SLU) systems uses the structure of content sources (e.g. semantic knowledge graphs, relational databases, . . . ) to automatically specify a semantic representation for SLU. The semantic representation is used when creating entity-relation patterns that are used to mine natural language (NL) examples (e.g. NL surface forms from the web and search query click logs). The structure of the content source (e.g. semantic graph) is enriched with the mined NL examples. The NL examples and patterns may be used to automatically train SLU systems in an unsupervised manner that covers the knowledge represented in the structured content.
A method for extracting natural language examples for natural language processing, comprising:
A computer-readable medium storing computer-executable instructions for extracting natural language examples for natural language processing, comprising:
A system or extracting natural language examples for natural language processing, comprising:
Dependencies are inferred from the claim text.