Machine learning based adaptive instructions for annotation

    公开(公告)号:US10977518B1

    公开(公告)日:2021-04-13

    申请号:US16355617

    申请日:2019-03-15

    Abstract: Techniques for generating and utilizing machine learning based adaptive instructions for annotation are described. An annotation service can use models to identify edge case data elements predicted to elicit differing annotations from annotators, “bad” data elements predicted to be difficult to annotate, and/or “good” data elements predicted to elicit matching or otherwise high-quality annotations from annotators. These sets of data elements can be automatically incorporated into annotation job instructions provided to annotators, resulting in improved overall annotation results via having efficiently and effectively “trained” the annotators how to perform the annotation task.

    Natural language configuration and operation for tangible games

    公开(公告)号:US11645947B1

    公开(公告)日:2023-05-09

    申请号:US16914688

    申请日:2020-06-29

    Abstract: This disclosure describes a tabletop game assistant system configured to ingest and guide tangible games (such as board games, card games, etc.) using natural language interaction and image capture/visual display components. The system can include features enabling a game developer to “teach” the system the rules of a game using natural language, such as written instructions, to reduce or eliminate the need for writing dedicated code. The system may process images of a game board and/or tokens such as game pieces and/or cards to further generate game data in the form of a logical game model. The system can use the game data to guide human players of the game and, in some cases, participate as a player itself. The system may further be configured to observe a game and detect invalid actions, answer questions regarding the rules, and suggest moves. The system may provide additional utilities such as generating a random output (e.g., rolling virtual dice) and learning to recognize new game pieces.

    Natural language configuration and operation for tangible games

    公开(公告)号:US11600263B1

    公开(公告)日:2023-03-07

    申请号:US16914603

    申请日:2020-06-29

    Abstract: This disclosure describes a tabletop game assistant system configured to ingest and guide tangible games (such as board games, card games, etc.) using natural language interaction and image capture/visual display components. The system can include features enabling a game developer to “teach” the system the rules of a game using natural language, such as written instructions, to reduce or eliminate the need for writing dedicated code. The system may process images of a game board and/or tokens such as game pieces and/or cards to further generate game data in the form of a logical game model. The system can use the game data to guide human players of the game and, in some cases, participate as a player itself. The system may further be configured to observe a game and detect invalid actions, answer questions regarding the rules, and suggest moves. The system may provide additional utilities such as generating a random output (e.g., rolling virtual dice) and learning to recognize new game pieces.

    Computerized waiting list tracking system

    公开(公告)号:US10026099B1

    公开(公告)日:2018-07-17

    申请号:US14570799

    申请日:2014-12-15

    Abstract: Tracking waiting lists associated with merchants and presenting deals to users based on adding the users to waiting lists is described. A service provider may enable merchants to track waiting lists associated with their own services and services of other merchants. Users may be automatically added to waiting lists of merchants based at least in part on a service provider determining that a user is at a geographic location of a merchant. Based at least in part on adding a user to a waiting list for a particular merchant, the service provider may access and select deals from one or more alternative merchants. The one or more alternative merchants may not have waiting lists or may have waiting lists with fewer groups than the waiting list for the particular merchant. The service provider may offer the deals to the user via a user device.

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