DATA DRIVEN NATURAL LANGUAGE EVENT DETECTION AND CLASSIFICATION
    1.
    发明申请
    DATA DRIVEN NATURAL LANGUAGE EVENT DETECTION AND CLASSIFICATION 审中-公开
    数据驱动的自然语言事件检测和分类

    公开(公告)号:WO2017213686A1

    公开(公告)日:2017-12-14

    申请号:PCT/US2016/061917

    申请日:2016-11-14

    Applicant: APPLE INC.

    Abstract: Systems and processes for operating a digital assistant are provided. In accordance with one or more examples, a method includes, at a user device with one or more processors and memory, receiving unstructured natural language information from at least one user. The method also includes, in response to receiving the unstructured natural language information, determining whether event information is present in the unstructured natural language information. The method further includes, in accordance with a determination that event information is present within the unstructured natural language information, determining whether an agreement on an event is present in the unstructured natural language information. The method further includes, in accordance with a determination that an agreement on an event is present, determining an event type of the event and providing an event description based on the event type.

    Abstract translation: 提供了用于操作数字助理的系统和过程。 根据一个或多个示例,一种方法包括在具有一个或多个处理器和存储器的用户设备处从至少一个用户接收非结构化自然语言信息。 该方法还包括,响应于接收到非结构化自然语言信息,确定事件信息是否存在于非结构化自然语言信息中。 该方法还包括:根据事件信息存在于非结构化自然语言信息内的确定,确定关于事件的协议是否存在于非结构化自然语言信息中。 该方法进一步包括根据关于事件的约定存在的确定,确定事件的事件类型并且基于事件类型提供事件描述。

    MANAGING REAL - TIME HANDWRITING RECOGNITION
    2.
    发明申请
    MANAGING REAL - TIME HANDWRITING RECOGNITION 审中-公开
    管理实时手写识别

    公开(公告)号:WO2014200736A1

    公开(公告)日:2014-12-18

    申请号:PCT/US2014/040417

    申请日:2014-05-30

    Applicant: APPLE INC.

    Abstract: Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.

    Abstract translation: 与用于在用户设备上提供手写输入功能的技术相关的方法,系统和计算机可读介质。 训练手写识别模块以具有包括多个非重叠脚本的节目,并且能够使用单个手写识别模型识别成千上万个字符。 手写输入模块为多字符手写输入提供实时,笔顺和笔迹方向独立的手写识别。 特别地,为多字符或句子级中文手写识别提供实时,笔顺和笔画方向独立的手写识别。 还公开了用于提供手写输入功能的用户界面。

Patent Agency Ranking