Invention Grant
- Patent Title: Self-learning statistical natural language processing for automatic production of virtual personal assistants
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Application No.: US14341013Application Date: 2014-07-25
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Publication No.: US09772994B2Publication Date: 2017-09-26
- Inventor: Yael Karov , Micha Breakstone , Reshef Shilon , Orgad Keller , Eric Shellef
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Barnes & Thornburg LLP
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F17/20 ; G06F17/30

Abstract:
Technologies for natural language request processing include a computing device having a semantic compiler to generate a semantic model based on a corpus of sample requests. The semantic compiler may generate the semantic model by extracting contextual semantic features or processing ontologies. The computing device generates a semantic representation of a natural language request by generating a lattice of candidate alternative representations, assigning a composite weight to each candidate, and finding the best route through the lattice. The composite weight may include semantic weights, phonetic weights, and/or linguistic weights. The semantic representation identifies a user intent and slots associated with the natural language request. The computing device may perform one or more dialog interactions based on the semantic request, including generating a request for additional information or suggesting additional user intents. The computing device may support automated analysis and tuning to improve request processing. Other embodiments are described and claimed.
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