Product labeling review
    2.
    发明授权

    公开(公告)号:US12067797B2

    公开(公告)日:2024-08-20

    申请号:US17408181

    申请日:2021-08-20

    申请人: PEPSICO, INC.

    发明人: Jingting Hui

    摘要: A label processing engine receives, as inputs, raw data representative of a label and baseline data, detects a raw data object within the raw data, classifies the raw data object, and localizes the raw data object within the raw data, detects a baseline data object within the baseline data, classifies the baseline data object, and localizes the baseline data object within the baseline data. The engine recognizes corresponding text within the raw data object and the baseline data object and extracts the corresponding text within the raw data object and the baseline data object, reassembles the corresponding text of the raw data object and the baseline data object into respective lines of text, compares the respective lines of text with one another, and issues a notification based on the comparison.

    System, method, and computer program for enabling text editing across multiple content blocks in a system

    公开(公告)号:US11687701B1

    公开(公告)日:2023-06-27

    申请号:US17581776

    申请日:2022-01-21

    申请人: Notion Labs, Inc.

    摘要: The present disclosure describes a system, method, and computer program for enabling text editing across multiple content blocks in a system. The system renders a workspace page including a plurality of content blocks in a user interface of a client application. The workspace page is rendered according to a hierarchical tree derived from the parent and child attributes of the content blocks on the workspace page. The system maintains an in-memory selection state for text selection in the client application. The system receives a user selection of text on the workspace page across a plurality of content blocks. The system updates the in-memory selection state to include a text selection range. The system receives a user edit to the selected text. The system identifies the plurality of content blocks within the text selection range. The system applies the user edit to the content blocks within the text selection range.

    SYSTEMS AND METHODS FOR GENERATING CONTEXTUAL TABLE EMBEDDINGS FOR TABULAR DATA

    公开(公告)号:US20240242024A1

    公开(公告)日:2024-07-18

    申请号:US18179767

    申请日:2023-03-07

    摘要: Systems and methods for generating contextual table embeddings for tabular data are disclosed. In one embodiment, a method may include: receiving, by a table embedding computer program, an input table comprising a plurality of cells; separating, by the table embedding computer program, the cells in the input table by data type, wherein the data type comprises a text data type or a numeric data type; embedding, by the table embedding computer program, the data type in each cell of the input table; enhancing, by the table embedding computer program, the cells of the input table based on a position and/or the data type; generating, by the table embedding computer program, contextual embeddings for the input table using an encoder of a table transformer; and generating, by the table embedding computer program, a table summary for the contextual embeddings using a decoder for the table transformer.

    LINGUISTICALLY-DRIVEN AUTOMATED TEXT FORMATTING

    公开(公告)号:US20230351090A1

    公开(公告)日:2023-11-02

    申请号:US18346609

    申请日:2023-07-03

    摘要: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.

    Linguistically-driven automated text formatting

    公开(公告)号:US11734491B2

    公开(公告)日:2023-08-22

    申请号:US17453763

    申请日:2021-11-05

    摘要: Systems and techniques for linguistically-driven automated text formatting are described herein. Data representing the linguistic structure of input text may be received from Natural Language Processing (NLP) Services, including but not limited to constituents, dependencies, and coreference relationships. A text model of the input text may be built using the linguistic components and relationships. Cascade rules may be applied to the text model to generate a cascaded text data structure. Cascaded data may be displayed on a range of media, including a phone, tablet, laptop, monitor, VR/AR devices. Cascaded data may be presented in dual screen formats to promote more accurate and efficient reading comprehension, greater ease in teaching native and foreign language grammatical structures, and tools for remediation of reading-related disabilities.