Forming chatbot output based on user state

    公开(公告)号:US11322143B2

    公开(公告)日:2022-05-03

    申请号:US16712481

    申请日:2019-12-12

    Applicant: Google LLC

    Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

    AUTOMATICALLY AUGMENTING MESSAGE EXCHANGE THREADS BASED ON TONE OF MESSAGE

    公开(公告)号:US20220027377A1

    公开(公告)日:2022-01-27

    申请号:US17497264

    申请日:2021-10-08

    Applicant: Google LLC

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for automatically augmenting message exchange threads based on a detected tone of messages exchanged between participants. In various implementations, a message contributed to a message exchange thread involving one or more message exchange clients by a participant may be determined. In various implementations, an idle chatter score associated with the message may be calculated. In various implementations, either a conversational response to the message or content responsive to a search query generated based on the message may be selectively incorporated into the message exchange thread based at least in part on the idle chatter score. In some implementations, a search query suitability score associated with the message may also be calculated.

    Automatically augmenting message exchange threads based on tone of message

    公开(公告)号:US11170008B2

    公开(公告)日:2021-11-09

    申请号:US16710802

    申请日:2019-12-11

    Applicant: Google LLC

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for automatically augmenting message exchange threads based on a detected tone of messages exchanged between participants. In various implementations, a message contributed to a message exchange thread involving one or more message exchange clients by a participant may be determined. In various implementations, an idle chatter score associated with the message may be calculated. In various implementations, either a conversational response to the message or content responsive to a search query generated based on the message may be selectively incorporated into the message exchange thread based at least in part on the idle chatter score. In some implementations, a search query suitability score associated with the message may also be calculated.

    Automatically augmenting message exchange threads based on tone of message

    公开(公告)号:US11222030B2

    公开(公告)日:2022-01-11

    申请号:US16710802

    申请日:2019-12-11

    Applicant: Google LLC

    Abstract: Methods, apparatus, systems, and computer-readable media are provided for automatically augmenting message exchange threads based on a detected tone of messages exchanged between participants. In various implementations, a message contributed to a message exchange thread involving one or more message exchange clients by a participant may be determined. In various implementations, an idle chatter score associated with the message may be calculated. In various implementations, either a conversational response to the message or content responsive to a search query generated based on the message may be selectively incorporated into the message exchange thread based at least in part on the idle chatter score. In some implementations, a search query suitability score associated with the message may also be calculated.

    Forming chatbot output based on user state

    公开(公告)号:US10515635B2

    公开(公告)日:2019-12-24

    申请号:US16181874

    申请日:2018-11-06

    Applicant: Google LLC

    Abstract: Techniques are described herein for chatbots to achieve greater social grace by tracking users' states and providing corresponding dialog. In various implementations, input may be received from a user at a client device operating a chatbot, e.g., during a first session between the user and the chatbot. The input may be semantically processed to determine a state expressed by the user to the chatbot. An indication of the state expressed by the user may be stored in memory for future use by the chatbot. It may then be determined, e.g., by the chatbot based on various signals, that a second session between the user and the chatbot is underway. In various implementations, as part of the second session, the chatbot may output a statement formed from a plurality of candidate words, phrases, and/or statements based on the stored indication of the state expressed by the user.

    Determining and utilizing secondary language proficiency measure

    公开(公告)号:US11568139B2

    公开(公告)日:2023-01-31

    申请号:US17351861

    申请日:2021-06-18

    Applicant: GOOGLE LLC

    Abstract: Implementations relate to determining a secondary language proficiency measure, for a user in a secondary language (i.e., a language other than a primary language specified for the user), where determining the secondary language proficiency measure is based on past interactions of the user that are related to the secondary language. Those implementations further relate to utilizing the determined secondary language proficiency measure to increase efficiency of user interaction(s), such as interaction(s) with a language learning application and/or an automated assistant. Some of those implementations utilize the secondary language proficiency measure in automatically setting value(s), biasing automatic speech recognition, and/or determining how to render natural language output.

Patent Agency Ranking