Natural language understanding model with context resolver

    公开(公告)号:US11568862B2

    公开(公告)日:2023-01-31

    申请号:US17036864

    申请日:2020-09-29

    Abstract: A system and method for training a virtual assistant to recognize and learn new context for known terms is presented. The method includes receiving a natural language input, corresponding to at least one of a desired intent and a desired entity, at a natural language processor. The method involves scoring known intents based on the natural language input to generate an intent confidence score for each known intent, and scoring known entities based on the natural language input to generate an entity confidence score for each known entity. The method involves comparing the intent confidence scores and entity confidence scores to a threshold value, and determining that the natural language input does not correspond to at least one of the known intents and the known entities based on the comparing. Finally, at least one of a new intent and a new entity are determined based on the natural language input.

    Predicting utilization of a shared collaboration resource

    公开(公告)号:US11489682B2

    公开(公告)日:2022-11-01

    申请号:US17187140

    申请日:2021-02-26

    Abstract: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.

    Interactive contextual emojis
    33.
    发明授权

    公开(公告)号:US11245650B2

    公开(公告)日:2022-02-08

    申请号:US16895294

    申请日:2020-06-08

    Abstract: A method for communicating in a digital conversation is implemented on a computing device and includes: receiving an interactive contextual emoji from a first digital conversation participant to post in the digital conversation with at least a second digital conversation participant, where the interactive contextual emoji is pre-defined to indicate at least a current availability status associated with the first digital conversation participant, requesting the current availability status from a status application based on at least an indication of the interactive contextual emoji, where the status application maintains the current availability status, receiving the current availability status from the status application, and displaying the interactive contextual emoji in the digital conversation with at least an indication of the current availability status.

    Combining modalities for collaborating while editing and annotating files

    公开(公告)号:US11106862B2

    公开(公告)日:2021-08-31

    申请号:US15663606

    申请日:2017-07-28

    Abstract: A communication system and related methods are described. The communication system includes a communication server computer and multiple user computers. The communication server computer maintains synchronization of multiple copies of a graphical user interface (“GUI”) presented by the multiple user computers. The GUI implements a multi-user, digital communication environment and includes a chat area where communications are organized by time and a document editing area where communications are organized by subject. The GUI enables integration of the chat area and the document editing area and allows users to communicate across multiple communication modalities seamlessly and in real time.

    Predicting utilization of a shared collaboration resource

    公开(公告)号:US10938587B2

    公开(公告)日:2021-03-02

    申请号:US15361828

    申请日:2016-11-28

    Abstract: Presented herein are techniques and systems associated with generating a predicted utilization likelihood for a shared collaboration resource. Integrated resource data associated with a meeting scheduled for a shared collaboration resource is obtained and analyzed using a machine-learned predictive model. The analysis generates a predicted utilization likelihood of the shared resource. An indication of the predicted utilization likelihood is provided to an output system, such as a graphical user interface.

    COLLABORATION TECHNIQUES BETWEEN PARTIES USING ONE OR MORE COMMUNICATION MODALITIES

    公开(公告)号:US20200045115A1

    公开(公告)日:2020-02-06

    申请号:US16601179

    申请日:2019-10-14

    Inventor: Keith Griffin

    Abstract: In one embodiment, a collaboration node prioritizes each modality of communication accessible by at least a first user and a second user based on one or more communication characteristics in a collaboration profile, monitors communication characteristics of a communication session conducted in a first modality of communication between the first user and the second user, and determines a second modality of communication accessible to the first user and the second user having a higher priority than the first modality of communication based on the collaboration profile and the communication characteristics for the communication session. The collaboration node further notifies at least one of the first user or the second user when the second modality of communication has the higher priority than the first modality of communication.

    COLLABORATION SYSTEMS WITH AUTOMATIC COMMAND IMPLEMENTATION CAPABILITIES

    公开(公告)号:US20190386840A1

    公开(公告)日:2019-12-19

    申请号:US16011221

    申请日:2018-06-18

    Abstract: Methods, systems and computer-readable medium are provided for implementing commands by a collaboration system on behalf of participants of an event utilizing such collaboration system. A method includes identifying participants associated with an event conducted using an online collaboration system; generating a per-participant metric for each one of the participants to generate a plurality of metrics; populating each of the plurality of metrics for a corresponding participant using data received from multiple data sources, each data source providing a particular type of data for the corresponding participant and in association with participation of the corresponding participant in the event; determining a command to be performed on behalf of one or more of the participants; determining, using the plurality of metrics, at least one target associated with the command to yield at least one identified target; and performing the command for the at least one target.

    CONTINUAL LEARNING FOR MULTI MODAL SYSTEMS USING CROWD SOURCING

    公开(公告)号:US20190318198A1

    公开(公告)日:2019-10-17

    申请号:US15992013

    申请日:2018-05-29

    Abstract: Systems, methods, and devices are disclosed for training a model. Media data is separated into one or more clusters, each cluster based on a feature from a first model. The media data of each cluster is sampled and, based on an analysis of the sampled media data, an accuracy of the media data of each cluster is determined. The accuracy is associated with the feature from the first model. Based on a subset dataset of the media data being outside a threshold accuracy, the subset dataset is automatically forwarded to a crowd source service. Verification of the subset dataset is received from the crowd source service, and the verified subset dataset is added to the first model.

    Collaboration techniques between parties using one or more communication modalities

    公开(公告)号:US10447788B2

    公开(公告)日:2019-10-15

    申请号:US14618495

    申请日:2015-02-10

    Inventor: Keith Griffin

    Abstract: In one embodiment, a collaboration node prioritizes each modality of communication accessible by at least a first user and a second user based on one or more communication characteristics in a collaboration profile, monitors communication characteristics of a communication session conducted in a first modality of communication between the first user and the second user, and determines a second modality of communication accessible to the first user and the second user having a higher priority than the first modality of communication based on the collaboration profile and the communication characteristics for the communication session. The collaboration node further notifies at least one of the first user or the second user when the second modality of communication has the higher priority than the first modality of communication.

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