Invention Application
- Patent Title: SELF-LEARNING STATISTICAL NATURAL LANGUAGE PROCESSING FOR AUTOMATIC PRODUCTION OF VIRTUAL PERSONAL ASSISTANTS
- Patent Title (中): 自主学习统计自然语言处理自动生产虚拟个人助理
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Application No.: US15332084Application Date: 2016-10-24
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Publication No.: US20170039181A1Publication Date: 2017-02-09
- Inventor: Yael Karov , Micha Breakstone , Reshef Shilon , Orgad Keller , Eric Shellef
- Applicant: Intel Corporation
- Main IPC: G06F17/27
- IPC: G06F17/27 ; 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.
Public/Granted literature
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