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公开(公告)号：US09218426B1
公开(公告)日：2015-12-22
申请号：US14595109
申请日：2015-01-12
Applicant: SRI International
Inventor： William Mabry Tyson , Douglas E. Appelt , Min Yin , William Jarrold
CPC classification number: G06F17/30867 , G06F17/30699 , G06F17/30705 , G06F17/30997 , G06Q10/10 , G06Q30/02
Abstract: A non-transitory computer readable storage medium includes instructions to collect explicit feedback from a user regarding user content preferences. Multiple data sources are monitored. Topics associated with the multiple data sources are classified. The importance of the topics to the user is characterized. Content is delivered to the user when a selected topic exceeds an importance threshold for the user. Implicit feedback from the user that characterizes refined user content preferences is tracked. The instructions to characterize the importance of topics evaluates the explicit feedback and the implicit feedback.
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公开(公告)号：US12282606B2
公开(公告)日：2025-04-22
申请号：US17107958
申请日：2020-12-01
Applicant: SRI International
Inventor： Ajay Divakaran , Amir Tamrakar , Girish Acharya , William Mark , Greg Ho , Jihua Huang , David Salter , Edgar Kalns , Michael Wessel , Min Yin , James Carpenter , Brent Mombourquette , Kenneth Nitz , Elizabeth Shriberg , Eric Law , Michael Frandsen , Hyong-Gyun Kim , Cory Albright , Andreas Tsiartas
IPC: G06F3/03 , G06F3/01 , G06F3/16 , G06N3/006 , G06N5/022 , G06N20/00 , G06N20/10 , G06V40/16 , G06V40/20 , G10L15/18 , G10L15/22 , G10L25/63 , G06N7/01
Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.
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Patent Agency Ranking
公开(公告)号：US20220310079A1
公开(公告)日：2022-09-29
申请号：US17613373
申请日：2020-06-15
Applicant: SRI International
Inventor： Edgar T. Kalns , Dimitra Vergyi , Girish Acharya , Andreas Kathol , Leonor Almada , Hyong-Gyun Kim , Nikoletta Baslou , Michael Wessel , Aaron Spaulding , Roland Heusser , James F. Carpenter , Min Yin
Abstract: A conversational assistant for conversational engagement platform can contain various modules including a user-model augmentation module, a dialogue management module, and a user-state analysis input/output module. The dialogue management module receives metrics tied to a user from the other modules to understand a current topic and a user's emotions regarding the current topic from the user-state analysis input/output module and then adapts dialogue from the dialogue management module to the user based on dialogue rules factoring in these different metrics. The dialogue rules also factors in both i) a duration of a conversational engagement with the user and ii) an attempt to maintain a positive experience for the user with the conversational engagement. A flexible ontology relationship representation about the user is built and stores learned metrics about the user over time with each conversational engagement, and then in combination with the dialogue rules, drives the conversations with the user.
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公开(公告)号：US20210081056A1
公开(公告)日：2021-03-18
申请号：US17107958
申请日：2020-12-01
Applicant: SRI International
Inventor： Ajay Divakaran , Amir Tamrakar , Girish Acharya , William Mark , Greg Ho , Jihua Huang , David Salter , Edgar Kalns , Michael Wessel , Min Yin , James Carpenter , Brent Mombourquette , Kenneth Nitz , Elizabeth Shriberg , Eric Law , Michael Frandsen , Hyong-Gyun Kim , Cory Albright , Andreas Tsiartas
IPC: G06F3/01 , G06K9/00 , G06F3/16 , G10L15/18 , G10L25/63 , G10L15/22 , G06N20/00 , G06F3/03 , G06N5/02 , G06N3/00 , G06N20/10
Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.
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公开(公告)号：US10884503B2
公开(公告)日：2021-01-05
申请号：US15332494
申请日：2016-10-24
Applicant: SRI International
Inventor： Ajay Divakaran , Amir Tamrakar , Girish Acharya , William Mark , Greg Ho , Jihua Huang , David Salter , Edgar Kalns , Michael Wessel , Min Yin , James Carpenter , Brent Mombourquette , Kenneth Nitz , Elizabeth Shriberg , Eric Law , Michael Frandsen , Hyong-Gyun Kim , Cory Albright , Andreas Tsiartas
IPC: G06F3/03 , G06F3/01 , G06K9/00 , G06F3/16 , G10L15/18 , G10L25/63 , G10L15/22 , G06N20/00 , G06N5/02 , G06N3/00 , G06N7/00
Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.
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公开(公告)号：US20230289498A1
公开(公告)日：2023-09-14
申请号：US17654737
申请日：2022-03-14
Applicant: SRI International , OBAYASHI CORPORATION , Hypar Inc.
Inventor： Anirban Roy , Jihua Huang , Sujeong Kim , Min Yin , Chih-hung Yeh , Takuma Nakabayshi , Yoshito Tsuji , Ian Keough , Matthew Campbell
IPC: G06F30/27 , G06T3/00 , G06V10/764 , G06V10/774 , G06F30/13
CPC classification number: G06F30/27 , G06T3/00 , G06V10/764 , G06V10/774 , G06F30/13
Abstract: In general, the disclosure describes techniques for parameterizing building information using images. In an example, a method includes receiving an image of a building; applying, by a machine learning system, a machine learning model to the received image of a building to generate, for a new building, new building parameters to be input to a building information modeling (BIM) data generation system, wherein the machine learning model is trained using images of buildings and corresponding building parameters for the buildings; and outputting, by the machine learning system, the new building parameters for the new building.
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公开(公告)号：US20170160813A1
公开(公告)日：2017-06-08
申请号：US15332494
申请日：2016-10-24
Applicant: SRI International
Inventor： Ajay Divakaran , Amir Tamrakar , Girish Acharya , William Mark , Greg Ho , Jihua Huang , David Salter , Edgar Kalns , Michael Wessel , Min Yin , James Carpenter , Brent Mombourquette , Kenneth Nitz , Elizabeth Shriberg , Eric Law , Michael Frandsen , Hyong-Gyun Kim , Cory Albright , Andreas Tsiartas
IPC: G06F3/01 , G06F3/00 , G06F3/16 , G06N99/00 , G10L25/63 , G10L15/22 , G10L15/06 , G10L15/02 , G06K9/00 , G10L15/18
CPC classification number: G06F3/017 , G06F3/0304 , G06F3/167 , G06K9/00221 , G06K9/00335 , G06N3/006 , G06N5/022 , G06N7/005 , G06N20/00 , G10L15/1815 , G10L15/1822 , G10L15/22 , G10L25/63 , G10L2015/228
Abstract: Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.
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