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公开(公告)号:US12229173B2
公开(公告)日:2025-02-18
申请号:US17116296
申请日:2020-12-09
Applicant: Google LLC
Inventor: Vladimir Vuskovic , Joseph Lange , Behshad Behzadi , Marcin M. Nowak-Przygodzki
IPC: G06F16/332
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating subqueries from a query. In one aspect, a method includes obtaining a query, generating a set of two subqueries from the query, where the set includes a first subquery and a second subquery, determining a quality score for the set of two subqueries, determining whether the quality score for the set of two subqueries satisfies a quality threshold, and in response to determining that the quality score for the set of two subqueries satisfies the quality threshold, providing a first response to the first subquery that is responsive to a first operation that receives the first subquery as input and providing a second response to the second subquery that is responsive to a second operation that receives the second subquery as input.
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公开(公告)号:US12183342B2
公开(公告)日:2024-12-31
申请号:US18230581
申请日:2023-08-04
Applicant: GOOGLE LLC
Inventor: Vladimir Vuskovic , Stephan Wenger , Zineb Ait Bahajji , Martin Baeuml , Alexandru Dovlecel , Gleb Skobeltsyn
IPC: G10L15/22 , G06F40/295 , G06F40/35 , G06F40/56 , G10L15/18
Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, based on content of an existing human-to-computer dialog session between a user and an automated assistant, an entity mentioned by the user or automated assistant may be identified. Fact(s)s related to the entity or to another entity that is related to the entity may be identified based on entity data contained in database(s). For each of the fact(s), a corresponding measure of potential interest to the user may be determined. Unsolicited natural language content may then be generated that includes one or more of the facts selected based on the corresponding measure(s) of potential interest. The automated assistant may then incorporate the unsolicited content into the existing human-to-computer dialog session or a subsequent human-to-computer dialog session.
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公开(公告)号:US20240420696A1
公开(公告)日:2024-12-19
申请号:US18814060
申请日:2024-08-23
Applicant: GOOGLE LLC
Inventor: Gleb Skobeltsyn , Olga Kapralova , Konstantin Shagin , Vladimir Vuskovic , Yufei Zhao , Bradley Nelson , Alessio Macrì , Abraham Lee
Abstract: Implementations described herein relate to providing suggestions, via a display modality, for completing a spoken utterance for an automated assistant, in order to reduce a frequency and/or a length of time that the user will participate in a current and/or subsequent dialog session with the automated assistant. A user request can be compiled from content of an ongoing spoken utterance and content of any selected suggestion elements. When a currently compiled portion of the user request (from content of a selected suggestion(s) and an incomplete spoken utterance) is capable of being performed via the automated assistant, any actions corresponding to the currently compiled portion of the user request can be performed via the automated assistant. Furthermore, any further content resulting from performance of the actions, along with any discernible context, can be used for providing further suggestions.
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公开(公告)号:US20240193372A1
公开(公告)日:2024-06-13
申请号:US18064230
申请日:2022-12-09
Applicant: Google LLC
Inventor: Joseph Lange , Henry Scott Dlhopolsky , Vladimir Vuskovic
CPC classification number: G06F40/35 , G06N20/00 , G06Q30/0281
Abstract: A method for dynamically generating training data for a model includes receiving a transcript corresponding to a conversation between a customer and an agent, the transcript comprising a customer input and an agent input. The method includes receiving a logic model including a plurality of responses, each response of the plurality of responses representing a potential reply to the customer input. The method further includes selecting, based on the agent input, a response from the plurality of responses of the logic model. The method includes determining that a similarity score between the selected response and the agent input satisfies a similarity threshold, and, based on determining that the similarity score between the selected response and the agent input satisfies the similarity threshold, training a machine learning model using the customer input and the selected response.
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公开(公告)号:US20240112679A1
公开(公告)日:2024-04-04
申请号:US18540377
申请日:2023-12-14
Applicant: GOOGLE LLC
Inventor: Ibrahim Badr , Zaheed Sabur , Vladimir Vuskovic , Adrian Zumbrunnen , Lucas Mirelmann
IPC: G10L15/22 , G06F16/903 , G06N3/006 , G10L15/18
CPC classification number: G10L15/22 , G06F16/90335 , G06N3/006 , G10L15/1815 , G10L15/1822 , G10L2015/223
Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, in an existing human-to-computer dialog session between a user and an automated assistant, it may be determined that the automated assistant has responded to all natural language input received from the user. Based on characteristic(s) of the user, information of potential interest to the user or action(s) of potential interest to the user may be identified. Unsolicited content indicative of the information of potential interest to the user or the action(s) may be generated and incorporated by the automated assistant into the existing human-to-computer dialog session. In various implementations, the incorporating may be performed in response to the determining that the automated assistant has responded to all natural language input received from the user during the human-to-computer dialog session.
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公开(公告)号:US11908462B2
公开(公告)日:2024-02-20
申请号:US17699580
申请日:2022-03-21
Applicant: Google LLC
Inventor: Gleb Skobeltsyn , Mihaly Kozsevnyikov , Vladimir Vuskovic
CPC classification number: G10L15/1815 , G06F3/167 , G06F40/30 , G10L15/1822 , G10L15/22 , G10L2015/223 , G10L2015/226
Abstract: The systems and methods of the present disclosure generally relate to a data processing system that can identify and surface alternative requests when presented with ambiguous, unclear, or other requests to which a data processing system may not be able to respond. The data processing system can improve the efficiency of network transmissions to reduce network bandwidth usage and processor utilization by selecting alternative requests that are responsive to the intent of the original request.
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公开(公告)号:US11887592B2
公开(公告)日:2024-01-30
申请号:US17411532
申请日:2021-08-25
Applicant: Google LLC
Inventor: Vladimir Vuskovic , Stephan Wenger , Zineb Ait Bahajji , Martin Baeuml , Alexandru Dovlecel , Gleb Skobeltsyn
IPC: G10L15/22 , G06F40/35 , G06F40/56 , G06F40/295 , G10L15/18
CPC classification number: G10L15/22 , G06F40/295 , G06F40/35 , G06F40/56 , G10L15/1815 , G10L15/222 , G10L2015/227
Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, based on content of an existing human-to-computer dialog session between a user and an automated assistant, an entity mentioned by the user or automated assistant may be identified. Fact(s)s related to the entity or to another entity that is related to the entity may be identified based on entity data contained in database(s). For each of the fact(s), a corresponding measure of potential interest to the user may be determined. Unsolicited natural language content may then be generated that includes one or more of the facts selected based on the corresponding measure(s) of potential interest. The automated assistant may then incorporate the unsolicited content into the existing human-to-computer dialog session or a subsequent human-to-computer dialog session.
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公开(公告)号:US11615124B2
公开(公告)日:2023-03-28
申请号:US17116296
申请日:2020-12-09
Applicant: Google LLC
Inventor: Vladimir Vuskovic , Joseph Lange , Behshad Behzadi , Marcin M. Nowak-Przygodzki
IPC: G06F16/332 , G06F16/33
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating subqueries from a query. In one aspect, a method includes obtaining a query, generating a set of two subqueries from the query, where the set includes a first subquery and a second subquery, determining a quality score for the set of two subqueries, determining whether the quality score for the set of two subqueries satisfies a quality threshold, and in response to determining that the quality score for the set of two subqueries satisfies the quality threshold, providing a first response to the first subquery that is responsive to a first operation that receives the first subquery as input and providing a second response to the second subquery that is responsive to a second operation that receives the second subquery as input.
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公开(公告)号:US11438185B2
公开(公告)日:2022-09-06
申请号:US16927373
申请日:2020-07-13
Applicant: Google LLC
Inventor: Vladimir Vuskovic , Yariv Adan
IPC: H04L12/18 , H04L51/02 , G06F16/00 , G06F40/40 , G06Q10/00 , H04L51/216 , H04L67/75 , H04L65/4038 , G06Q10/06
Abstract: Techniques are described herein for automated assistants that proactively provide content to participant(s) of multi-participant message exchange threads (e.g., group chats, audio and/or video calls in which oral messages are transcribed for analysis, etc.) based on signals such as individual participant profiles associated with participant(s). In various implementations, automated assistant(s) that may not be explicitly invoked may analyze content of a message exchange thread involving multiple human participants and/or document(s) associated with the message exchange thread. Based on the analyzing, the automated assistant(s) may identify topic(s) pertinent to the message exchange thread. Based on individual participant profiles associated with the participants, the automated assistant(s) may identify shared interest(s) of the participants. The automated assistant(s) may then select new content based both on the pertinent topic(s) and the shared interest(s) of the participants and proactively provide the new content to one or more of the participants.
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公开(公告)号:US20220208183A1
公开(公告)日:2022-06-30
申请号:US17699580
申请日:2022-03-21
Applicant: Google LLC
Inventor: Gleb Skobeltsyn , Mihaly Kozsevnyikov , Vladimir Vuskovic
Abstract: The systems and methods of the present disclosure generally relate to a data processing system that can identify and surface alternative requests when presented with ambiguous, unclear, or other requests to which a data processing system may not be able to respond. The data processing system can improve the efficiency of network transmissions to reduce network bandwidth usage and processor utilization by selecting alternative requests that are responsive to the intent of the original request.
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