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Self-learning statistical natural language processing for automatic production of virtual personal assistants
专利权人:
Intel Corporation
发明人:
Karov Yael,Breakstone Micha,Shilon Reshef,Keller Orgad,Shellef Eric
申请号:
US201414341013
公开号:
US9772994(B2)
申请日:
2014.07.25
申请国别(地区):
美国
年份:
2017
代理人:
Barnes & Thornburg LLP
摘要:
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 reques
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