Message payload editor
    51.
    发明授权

    公开(公告)号:US10680983B2

    公开(公告)日:2020-06-09

    申请号:US15285369

    申请日:2016-10-04

    申请人: SAP SE

    发明人: Jan Hrastnik

    摘要: Methods and apparatus, including computer program products, are provided for editing messages via a message-specific user interface. In some implementations, a method may be provided. The method may include receiving, at a user interface, data content of a message corresponding to a business object; presenting, at the user interface, the data content of the message corresponding to the business object, the user interface generated specifically for a type associated with the message; and initiating, at the user interface, at least one of a change and a save to the data content. Related systems, methods, and articles of manufacture are also disclosed.

    CONCEPT-LEVEL TEXT EDITING ON PRODUCTIVITY APPLICATIONS

    公开(公告)号:US20240256773A1

    公开(公告)日:2024-08-01

    申请号:US18129750

    申请日:2023-03-31

    IPC分类号: G06F40/274 G06F40/137

    CPC分类号: G06F40/274 G06F40/137

    摘要: In accordance with examples of the present disclosure, a productivity application provides a concept-level text editing tool that assists users to create a document by generating suggestions of new contents (e.g., an outline or text) of the document while also improving the quality of existing contents of the document. More particularly, the present disclosure teaches the ability to generate an outline by providing step-by-step suggestions of a next outline item, generate text suggestions based on selected outline items, generate new outline item suggestions from selected text, and generate a list of natural language suggestions for an existing outline and/or existing text in the document. It should be appreciated that any implementation or modification to the document or the outline based on the suggestions is vetted by the user.

    METHODS AND SYSTEMS FOR PREDICTING DIFFICULTY OF LONG FORM TECHNICAL QUESTIONS USING WEAK SUPERVISION

    公开(公告)号:US20240111964A1

    公开(公告)日:2024-04-04

    申请号:US18454136

    申请日:2023-08-23

    摘要: Technical interviewing is important for organizations for assessing a candidate to make hiring decision. For effective technical interviewing, predicting difficulty of long form technical questions is crucial. The present disclosure provides systems and methods for predicting difficulty of long form technical questions using weak supervision from textbooks. Further, zero shot pre-trained large language models and unsupervised template-based technique are used for generating questions. Furthermore, a difficulty score is assigned to the generated questions based on context difficulty and task difficulty. The context difficulty for the generated questions is computed using hierarchical structure of the textbooks, and the task difficulty is computed by determining a similarity between the generated questions and Bloom's taxonomy levels. In the present disclosure, few supervised question difficulty prediction models are trained by means of weak supervision using the generated questions and corresponding difficulty scores and further evaluated for prediction performance using a gold-standard question difficulty dataset.