公开(公告)号：US10733375B2

公开(公告)日：2020-08-04

申请号：US16012531

申请日：2018-06-19

Applicant: Apple Inc.

Inventor： Lin Li ,  Deepak Muralidharan ,  Xiao Yang ,  Justine Kao ,  Lavanya Colinjivadi Viswanathan ,  Mubarak Ali Seyed Ibrahim ,  Ashish Garg

IPC: G10L15/22 ,  G06F40/211 ,  G06N5/02

Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process receives natural language input and determines a first and a second parsing result for the natural language input. The first and the second parsing results include respective mappings of one or more properties of a domain corresponding to the natural language input to one or more words of the natural language input. The process determines whether the second parsing result corresponds to a data item in a knowledge base, and in accordance with determining that the second parsing result corresponds to the data item in the knowledge base, the process ranks the second parsing result higher than the first parsing result. Based on the ranking, the process generates a task flow using the second parsing result and executes the task flow to provide an output based on the data item.

公开(公告)号：US11423908B2

公开(公告)日：2022-08-23

申请号：US16554475

申请日：2019-08-28

Applicant: Apple Inc.

Inventor： Qiwei Sun ,  Gagan Aneja ,  Xinjie Di ,  William Pui Lum Li ,  Deepak Muralidharan

IPC: G10L15/26 ,  G10L15/197 ,  G10L15/22 ,  G10L25/30 ,  G10L15/18

Abstract: In an exemplary process for interpreting spoken requests, audio input containing a user utterance is received. In accordance with a determination that a text representation of the user utterance does not exactly match any of a plurality of user-defined invocation phrases, the process determines whether a comparison between the text representation and a user-defined invocation phrase of the plurality of user-defined invocation phrases satisfies one or more rule-based conditions. In accordance with a determination that the comparison between the text representation and the user-defined invocation phrase satisfies the one or more rule-based conditions, the text representation and the user-defined invocation phrase is processed using a machine-learned model to determine a score representing a degree of semantic equivalence between the text representation and the user-defined invocation phrase. In accordance with a determination that the score satisfies a threshold condition, a predefined task corresponding to the user-defined invocation phrase is performed.